[Consolidated Reply] Query 6: Scaling Smart Irrigation: Harnessing Emerging Technologies for Sustainable Water Management in Asia-Pacific

Across the Asia-Pacific region, increasing water scarcity, climate variability, and rising energy costs are placing significant pressure on agricultural systems, particularly for small and marginal farmers. In this context, social entrepreneurship offers a scalable and inclusive pathway to promote smart irrigation solutions that simultaneously address water efficiency, clean energy access, and livelihood resilience. The promotion of solar-powered water pumps (SWPs) has emerged as a practical climate technology that supports sustainable water management while strengthening rural economies.

Solar water pumps provide a clean and reliable alternative to diesel- and grid-based irrigation systems. When integrated with smart irrigation technologies such as drip and micro-irrigation systems, soil moisture sensors, and automated controllers, SWPs enable precision irrigation based on actual crop water requirements. This integration significantly reduces water wastage, limits over-extraction of groundwater, and improves agricultural productivity, while also lowering greenhouse gas emissions. Such technology convergence is particularly relevant for climate-vulnerable regions across Asia-Pacific, where efficient water use is critical for long-term sustainability.

Social enterprises play a vital role in scaling solar irrigation by addressing key barriers to adoption, including high upfront costs, limited technical awareness, and inadequate last-mile service delivery. Through innovative business models such as pay-as-you-go financing, lease-to-own arrangements, and community or cooperative ownership, social enterprises make solar water pumps accessible to smallholder farmers. Additionally, engaging women- and youth-led enterprises in installation, operation, and maintenance creates local employment opportunities and ensures the long-term functionality of irrigation systems.

The integration of emerging digital technologies further enhances the impact of solar irrigation solutions. Remote monitoring systems, data analytics, and mobile-based advisory platforms enable real-time tracking of water use, pump performance, and irrigation schedules. These tools support informed decision-making by farmers and implementing agencies, ensuring that solar-powered irrigation remains both energy-efficient and water-smart. Digital solutions also contribute to better resource planning and adaptive responses to climate variability.

Effective scaling of smart irrigation through social entrepreneurship requires strong ecosystem collaboration. Alignment with national and sub-national policies on renewable energy, climate-smart agriculture, and water governance is essential, along with partnerships involving governments, financial institutions, and development organizations. Blended finance mechanisms and results-based incentives can further support the expansion of socially driven solar irrigation initiatives across diverse agricultural contexts in the region.

Social entrepreneurship-led promotion of solar water pumps demonstrates strong potential to deliver multiple climate and development co-benefits. These include reduced carbon emissions, improved water-use efficiency, enhanced farm incomes, and increased resilience of rural communities to climate shocks. By combining clean energy, smart irrigation technologies, and inclusive business models, solar-powered irrigation can play a transformative role in advancing sustainable water management and climate resilience across the Asia-Pacific region.

The need for smart irrigation and freshwater feed resources is escalating by global population and arid land increased (due to shortage of rainfall). Effective irrigation/agriculture water management is essential to address the global water crisis. Water is most crucial and demanding entity of our food production cycle and is a foundation stone of food security in recent times. Currently, agricultural water systems can sustainably feed only up to less than 5 billion world’s population.

Since the pressure on food eco systems is rising and growing food insecurities demands smart agricultural water management (SAWM), for strive through issues such as global water scarcity, population growth, increased agricultural activity from family farmers, rising food demands, and climate change disasters. Smart irrigation water management is essential to address the world’s water crisis. These systems achieve significantly higher water use efficiency (up to 95% for drip irrigation) compared to traditional, gravity-driven methods. The transition from conventional, gravity-driven irrigations to modern-day, pressure-driven smart/precision irrigation methods used to address the difficulties associated with water-intensive irrigation, but the opportunities of updating conventional techniques towards smart and precision irrigation technologies are very limited. The increasing drought indices in the world’s agricultural zones also required attention for stake holders to invest in Smart Irrigation Tools. Smart irrigation/agriculture water also reduces pressure on water and food ecosystems.

The agriculture is the backbone of economies, while precision irrigation is a cutting-edge tool to make agriculture smarter, more sustainable, and climate-resilient. The shift for how precision irrigation fits into the broader agricultural system is very much technological dependent. That could visually highlight the relationship. Likewise, technologies for a more sustainable agricultural future, required algorithms based on AI/ML techniques, and datasets from IoT. Also, wireless sensor networks, be utilized as for deep learning (logic effects on crop performance and water conservation across various crops).

Smart irrigation, rainwater harvesting, and dam utilization are critical tools to strengthen food security, boost GDP through agricultural productivity, and conserve freshwater resources. The effective Smart farming management systems and water resource utilization fulfils the increased demand of new agricultural civilization. For example, adopting precision irrigation would ultimately yield sustainable development goals (SDGs).

Land drought accompanied with food insecure or scarcity of food demand are unavoidable demolishing outcomes of climate change and global warming. Such circumstances give rise to smart irrigation. The least awareness for solving these issues compelled researchers and scientists are to develop and make out innovative ways, for smart irrigation. By using techniques particularly real-time monitoring and control systems for precision agriculture solution may be pointed in water scarcities area and towards sustainable Agri land.

Smart irrigation systems face challenges to adopt AI/ML and highlights the limitations and challenges of implementing water smart irrigation in agriculture. Prior and pertinent research on water conservation in agriculture formed the basis for smart irrigation or precision irrigation systems which in turns enhance water monitoring, and control techniques thus water savings increases, crop production enhances, with optimized for energy utilization. The issues required financial incentives, technological innovation, comprehensive training, robust data management, and strategic infrastructure development.

Scaling smart irrigation in the Asia-Pacific region requires an integrated approach that combines emerging technologies with local context and institutional readiness. IoT-enabled soil moisture sensors, satellite-based remote sensing, AI-driven predictive analytics, and climate data integration can significantly optimize water use efficiency while improving crop productivity.

However, technology alone is not sufficient. Successful scaling depends on affordability, interoperability, and capacity building for farmers and local water authorities. Public–private partnerships, open data platforms, and regionally harmonized standards can reduce costs and accelerate adoption. Community-based pilots and climate-smart financing mechanisms are essential to ensure inclusivity, especially for smallholder farmers. Smart irrigation should be aligned with national water policies, climate adaptation plans, and SDG 6 & SDG 13, ensuring resilience against droughts, floods, and climate variability. Shared regional experiences through this CoP can help translate innovation into scalable, sustainable solutions for climate action.

In the Asia-Pacific region, agriculture remains the largest consumer of freshwater — yet farmers are increasingly expected to produce more with less. For me, “smart irrigation” is not just about adopting technology — it is about reshaping how we value and manage water at the farm level. Emerging tools such as soil-moisture sensors, automated drip systems, satellite-based monitoring, and AI-driven decision support are helping farmers match water application to real crop needs. When these solutions are combined with practices like precise land levelling and efficient conveyance systems, the result is genuine water productivity — more crop per drop, and more resilience against climate variability.

However, technology alone cannot deliver sustainability. Scaling smart irrigation in Asia-Pacific requires three things: (1) Localization, not duplication — solutions must be adaptable to smallholders, fragmented landholdings, and diverse agro-ecologies. A low-cost sensor that works for a Punjab farmer may be far more transformative than a high-end imported system; (2) Capacity and behaviour change — farmers do not simply adopt technology, they adopt trust; demonstration plots, farmer-to-farmer learning, and on-ground technical support are essential if smart irrigation is to move beyond pilot projects; and (3) Policy and financial enabling environments — incentives for efficient irrigation, concessional financing, and results-based subsidies can accelerate uptake, especially when linked with digitized service delivery and reliable data systems.

I have a case study to share where efforts were made to incentivize farmers for conserving water in fields and were also provided with the needed knowledge, access to schemes and some demonstration/farmer’s school. Punjab in India, famously known as the bread basket of India has exploited groundwater at an alarming rate in past few decades after independence to ensure the food security for the whole country. The policies were shaped in a linear thought process that encouraged generous water withdrawal, because of free electricity provision to farmers. Also, the government has been providing subsidies in various domains such as credit, power, water, and seed. The consequences on the groundwater table were not well comprehended. In addition to these, the guaranteed procurement of specific crops and minimum support price (MSP) has coincidently led to a shift from traditional to water-intensive crops such as paddy in many states.

To arrest this, a pilot project was launched by the World Bank with the Punjab Government and a scheme called ‘Pani Bachao, Paisa Kamao’ (PBPK) was initiated. This scheme literally means, save water and earn money and also termed as Direct Benefit Transfer for Electricity (DBTE) to agriculture on a pilot basis on six feeders in three districts — Fatehgarh Sahib, Hoshiarpur, and Jalandhar. The scheme in the state offers a choice to the farmers to increase their income while using groundwater and electricity more efficiently. The scheme design considers two prerequisites — the current policy of free power to agriculture cannot be discontinued, and crop diversification will not occur in the near future. The conceptual framework of the PBPK scheme was designed based on consultations with multiple stakeholders, recommendations from fieldwork with farmers, a review of global experiences, and a critical analysis of multi-sectoral data and policies. It is aimed to develop a strategy that addresses the electricity–water–agriculture cross-sectoral issues and meets the requirements of agriculture and farmers.

The PBPK is a voluntary scheme that does not change the present policy of free electricity supply to agriculture pump (AP) consumers in Punjab. Instead, it has a provision to pay farmers for saving electricity with no charge for the excess consumption. If the electricity consumption is less than the allocation, the units of electricity saved are paid at the rate of INR 4.00 per kWh, and the amount is transferred into the bank account of the respective enrolled AP consumer.

To bridge the knowledge gap regarding energy and water-saving practices, 15 demonstration farms, five at each feeder, were set up on farmers’ fields with their consent. Supported by the inter-departmental schemes, farmers on a farm section experimented with new seed variety and irrigation techniques to minimise water losses during paddy and wheat cultivation. These plots soon became farmer field schools for other farmers popularising the adoption of the water- and energy-efficient technology. Apart from these interventions, the state of Punjab offers up to 80% subsidy for MIS and approximately 50% for UGPS. The agronomic practices adopted in demo farms proved to be feasible for the farmers in terms of ease of application as well as cost-effectiveness. Apart from showcasing a significant reduction in water withdrawal for their cultivation, it also resolved farmers’ worry about yield penalty and farm economics, which led to their opinion into adopting efficient interventions for upcoming cropping seasons.

The state officially recorded payments to farmers during the 2019–20 season (e.g., payments of about ₹8.19 lakh to roughly 972 farmers under the pilot). The Pani Bachao, Paisa Kamao scheme attempts to align economic incentives with sustainable resource use, offering a model that policymakers and researchers can use to think about broader reforms in water-energy-agriculture linkages.

More than 500 million people in Asia-Pacific grapple with water scarcity, and by 2050, water availability is expected to drop another 20%. That is a big blow for farmers and food security especially in the driest regions. Climate-smart irrigation is no longer just an option; it is turning into a necessity. Technologies like subsurface drip irrigation (SDI), AI-powered precision farming, and IoT-based systems can lift water-use efficiency by 30–50%. Yields climb, too — up to 40% higher in some cases. These tools do not just save water; they help farmers weather tough seasons.

Look at what is happening on the ground. In India, the Pradhan Mantri Krishi Sinchayee Yojana (PMKSY) Per Drop More Crop (PDMC) scheme has rolled out micro-irrigation across 9.7 million hectares as of August 2025. The results: 30% water savings, plus smallholders receive subsidies covering 55% of costs for drip and SDI setups. Australia’s CSIRO is taking a tech-first approach, using satellite data and machine learning in their precision horticulture projects. They have fine-tuned irrigation for 500,000 hectares of high-value crops — think grapes and almonds — and managed to cut water use by 40% while boosting yields by 20% by late 2025.

India’s making the most of its space assets, too. The Indian Space Research Organisation’s (ISRO) Satellite-based Irrigation Advisory Service (SIAS) now reaches over 10 million smallholders, offering AI-driven, crop-specific advice by SMS and mobile apps. It pulls in satellite imagery, soil, and weather data to build precise watering schedules. The 2025 NISAR satellite launch with NASA has taken this further, enabling real-time monitoring of crop health and irrigation needs, especially in drought-prone states like Rajasthan. Early SDI pilots in vineyards have slashed evaporation losses by 70%. Agritech startups like Fasal are also moving fast, connecting IoT soil sensors directly to SIAS and riding a wave of venture capital — $350 million in 2023, topping $400 million by 2025. These bundled solutions are already cutting farm operational costs by 25%.

Vietnam is leaning into the Smart Agriculture 2030 program, rolling out IoT sensors for Alternate Wetting and Drying (AWD) in rice paddies. These sensors nudge farmers when it is time to irrigate, saving 13–20% water without sacrificing yields. By 2025, pilots in Ninh Thuan and Binh Thuan provinces touched 50,000 smallholders across 100,000 hectares. SDI is getting a try out in salty coastal soils to battle sea-level rise, backed by hefty 70% government grants and World Bank support. Over in Bangladesh, the Infrastructure Development Company Limited (IDCOL) scaled up solar-IoT irrigation pumps to 50,000 units by 2025 under the SoLAR Phase II initiative. Diesel costs dropped by 60%, and now farmers can monitor pumps remotely even in off-grid river deltas. The next step: public-private partnerships aiming for carbon-neutral farming.

The UN Food and Agriculture Organization (FAO) is pushing digital advice further with its 2025 Inter-regional Digital Agriculture Forum (IDASF). They are piloting natural language chatbots in Indonesia and Vietnam, delivering tailored pest and irrigation tips in Bahasa for just $0.30 per farmer — down from $3 using the old extension system. Built with Digital Green, these tools already reach a million users, using IoT data to nudge behaviour and address adoption barriers like risk aversion.

Still, technology on its own is not enough. Smallholders who make up 70% of Asia-Pacific’s farmers are adopting these tools at rates below 20%. The main blocker: money. SDI or IoT system costs run from $500 to $2,000 per hectare. Without credit, that is out of reach. Informal lenders charge punishing 20–50% interest, and formal banks stay wary, seeing smallholders as risky due to limited collateral and unpredictable crops. Even with subsidies, a 2025 study found 40% of Indian smallholders skip installation, deepening the affordability gap for marginalized groups.

Technical and infrastructure headaches pile on. Rural broadband still covers less than half the region, causing lags in cloud-based AI services. Power outages hit 60% of remote sites, frying sensors and stalling automation. SDI clogs in salty soils tack on another $200 per hectare for filtration. Non-standardized equipment fragments the supply chain — Vietnam’s AWD pilots saw 20% failure rates from compatibility problems.

Socio-economic and behavioural hurdles slow things down further. According to a 2024–2025 report, 60% of smallholders lack digital skills or even basic awareness of these technologies. Scepticism runs high, especially when new tools are unproven. Many farmers stick with familiar flood irrigation, even if it wastes water. Women, who make up half of smallholders, adopt tech 30% less often — mainly because they have less access to devices and face mobility hurdles. In India, IIT Kanpur found 40% of systems fail within a year due to neglected maintenance, undermining trust. And only 15% of agricultural workers receive any agri-tech training, according to ILO data.

Government policies set the stage for breakthroughs. Take PMKSY covering 55% of costs for smallholders — this pushed SDI adoption up 25% in Gujarat by 2025. National strategies matter too. China’s Digital Agriculture Plan and Vietnam’s 2030 framework both focus on making IoT standard in farming. Then there is the real power of public-private partnerships. India’s Micro Irrigation Fund, with its Rs. 10,000 crore pool, helped finance an extra 2.3 million hectares by October 2025. It is not just about the money — mixing loans with private know-how means new ideas actually work on the ground.

Money matters, but the way it flows matters more. Punjab’s Pani Bachao Paisa Kamao (PBPK) scheme, now running across all smart-metered feeders as of 2025, rewards farmers Rs. 4 for every kWh saved — no penalties, only incentives. That has reached 52,000 farmers and cut groundwater depletion by 15%. Voluntary sign-ups and field schools drive the change. Meanwhile, pay-as-you-go models and equipment leasing, tested by FAO partners, pushed adoption up 35% in Bangladesh’s off-grid areas.

Training fills the behavioural gap. FAO’s co-creation pilots trained 500,000 women in Indonesia on AI tools, using women-only apps. This closed gender gaps and sparked a 40% jump in tech adoption, thanks to group-based IoT demos. Farmer field schools, like those in PBPK, show SDI in action — delivering 20% higher off-season yields. IIT-Bombay’s SoilSens offers $10 sensors with instant, local-language alerts.

Bundling tech speeds things up. Systems that pair agronomic advice, weather forecasts, and maintenance — like CSIRO’s open satellite portals — deliver real value. Affordable LPWANs connected 30% more rural sites by 2025. Solar-powered SDI in Australia’s dry zones cut energy use in half.

Transferring technology works best when everyone is involved. Top-down does not cut it. PDMC brought together governments, NABARD, and startups to co-design new solutions like saline-resistant SDI for Vietnam. Mixing irrigation with fertigation and early warning systems cuts rice emissions by 25%. For real inclusion, target women and youth — UNDP pilots in Bhutan saw female groups top 35% higher adoption rates. New trends, like AI-blockchain for transparent subsidies (piloted in China in 2025), promise even fairer scaling.

By 2025, Asia-Pacific is in the midst of a transformation. PMKSY’s 9.7 million hectares and FAO’s million-user AI show what smart irrigation can do. But it is policy, finance, and training that keep the momentum going. Insights like lessons from SDI in Iran or new behavioural nudges will only make this movement stronger and more adaptable for the world.

More information ↗

Start with high-value crops and reliable water sources to maximize ROI and demonstrate success quickly.
Use modular stacks: Begin with moisture sensing + advisory; add automated valves and fertigation after proof of benefit.
Standardize design and O&M protocols for SDI (depth, spacing, filtration, flushing schedules) and document them in pictorial guides.
Build local tech support through cooperative technicians and vendor SLAs with spare-parts commitments.
Measure and communicate KPIs monthly: litres saved per kg yield, energy per mm irrigation, net income change, and system uptime.
Align finance to harvest cycles and include maintenance in the total cost of ownership.

In Asia-Pacific, subsurface drip irrigation (SDI), AI-driven precision agriculture, and IoT-enabled irrigation systems have been successfully scaled in water-scarce regions like India, China, and Australia. Adoption is enabled by government subsidies, digital literacy programs, and cooperative models, but impeded by high upfront costs, fragmented policies, and limited farmer awareness. Effective interventions include public-private partnerships, farmer training, and bundled financing schemes that reduce barriers to uptake.

1. Successful Use of Technologies
a. Subsurface Drip Irrigation (SDI): Widely adopted in India’s semi-arid states (Maharashtra, Gujarat), SDI reduces water use by up to 40% while increasing yields in crops like sugarcane and cotton.
b. AI-based precision agriculture: China and Australia deploy AI models for crop water stress detection, optimizing irrigation schedules and fertilizer use.
c. IoT-enabled irrigation systems: In Vietnam and Thailand, IoT sensors monitor soil moisture and automate irrigation, reducing water waste and labour costs.
d. Decision support systems: AIoT platforms using LSTM time-series models help farmers predict drought stress and adjust irrigation.
e. Digital water management: Smart irrigation pilots in China integrate AI with weather forecasts to improve water allocation.

2. Enabling & Impeding Factors
a. Policy-related: Subsidies and national water-use efficiency programs accelerate adoption; lack of harmonized standards slows scaling.
b. Socio-economic: High upfront costs and limited access to credit impede smallholders; cooperative models and microfinance enable uptake.
c. Behavioural: Farmer scepticism and low digital literacy hinder adoption; peer learning and demonstration farms improve trust.
d. Technical: Poor connectivity in rural areas limits IoT deployment; low-cost sensor innovations and mobile-based platforms mitigate this.

The village irrigation systems of Sri Lanka comprise small reservoirs (generally ranging from a storage capacity of 1000 m³ to more than 1.0 million m³) and small diversion structures. Many of these reservoirs in the Dry Zone of Sri Lanka are hydrologically linked and form networks called tank cascades, enabling water reuse. They have provided critically important services for rural livelihoods, water security, disaster risk reduction, and ecosystem services for more than a millennium.

However, these systems are experiencing sustainability issues due to years of anthropogenic pressures, neglect, climate change, and poorly functioning governance arrangements. Traditional local institutions that historically organized irrigation maintenance and water distribution have weakened over time, while state and external institutions have tended toward centralized and top-down control. Moreover, climate change necessitates a mix of modern technology and traditional knowledge to make the systems resilient and sustainable.

The government of Sri Lanka implemented the Climate Resilient Integrated Water Management Project from 2017 to 2025, with the funding support of the Green Climate Fund and the technical support of the United Nations Development Programme, aiming for a paradigm shift in the development and management of tank cascade systems. New technologies introduced by the project included the provision of improved weather forecasts, on-farm and off-farm water management, and climate-resilient irrigation infrastructure. Off-farm technologies included reservoir storage and rainfall-based reservoir operation, while on-farm technologies included (among others) alternating wetting and drying method for irrigated command and drip irrigation for uplands. Adopting an IWRM-based approach, drinking water solutions and ecosystem conservation measures were also introduced. A major paradigm shift in the approach was introducing governance structures and institutional arrangements that are supportive of the decentralized and community-driven management of tank cascade systems holistically, with due attention to drinking water and ecosystems.

While the technology-driven and governance-based interventions were acceptable to the community and the policy makers, the sustainability of the interventions depends on finances and policy support. Post-project assessments revealed the need for community-based enterprises with sound business plans to minimize the dependence of village irrigation on state support. However, governance and technical support are still required from the state. Moreover, policy recognition and legal backing are essential for community empowerment to sustain.

The experiences in Sri Lanka have shown that new technology should be affordable to the local economy. Many automated and sophisticated instruments are found to be malfunctioning due to inadequate maintenance support. In the case of community-managed systems, this aspect is very important when new technologies are introduced, especially at a time when the country is recovering from an economic crisis.

1. Background and Context

The Asia-Pacific region faces increasing pressure on water resources, with agriculture consuming nearly 70–80% of available freshwater. Climate change, declining groundwater levels, irregular rainfall, and rising food demand have intensified the need for efficient and climate-resilient irrigation solutions. Smart irrigation technologies are emerging as a key adaptation strategy to improve water-use efficiency while sustaining agricultural productivity.

2. Intervention Overview

This case study highlights the deployment of sub-surface drip irrigation (SSDI) combined with IoT-enabled irrigation systems and AI-based precision agriculture in water-scarce and semi-arid agricultural landscapes.

3. Technology Description

Sub-Surface Drip Irrigation (SSDI) delivers water directly to the root zone below the soil surface, minimizing losses due to evaporation and runoff. Key features: underground drip lines placed near crop roots; integrated fertigation for efficient nutrient delivery; reduced weed growth and soil salinity risks.

IoT-Enabled Irrigation and AI-Based Precision Agriculture: IoT systems use soil moisture sensors, weather stations, and flow meters to generate real-time irrigation data. AI tools analyse historical datasets, weather forecasts, and crop growth stages to optimize irrigation scheduling. Key features: real-time monitoring through mobile/cloud platforms; data-driven irrigation decisions; early detection of crop stress.

4. Implementation Experience and Results

Observed outcomes:
a. 30–50% reduction in water use
b. 20–40% increase in crop yields
c. Improved fertilizer efficiency through targeted fertigation
d. Reduced energy and labour costs
e. Enhanced resilience to dry spells and rainfall variability

The combined use of SSDI and digital tools enabled farmers to shift from calendar-based irrigation to need-based irrigation, improving overall farm efficiency.

5. Challenges Encountered

i) High upfront capital costs for infrastructure and sensors
ii) Technical complexity related to filtration, maintenance, and data interpretation
iii) Limited digital literacy among small and marginal farmers
iv) Inadequate rural connectivity and power supply in some areas

6. Enabling Factors for Scale-Up

Policy: Government subsidies and incentives for micro-irrigation systems; national programs promoting digital and smart agriculture; supportive policies for digital infrastructure development. Technical: Localization of sensor technology for diverse agro-climatic conditions; availability of local service providers and after-sales support; integration of renewable energy solutions (e.g., solar pumps). Socio-Economic: Collective adoption through Farmer Producer Organizations (FPOs) and cooperatives; capacity-building and training programs; inclusion of women and youth as technology adopters and service providers; demonstration farms showcasing cost–benefit advantages.

7. Key Lessons Learned

Technology adoption improves when solutions are farmer-centric and context-specific. Blending physical irrigation systems with digital intelligence maximizes impact. Financial support and technical handholding are critical for smallholder adoption. Trust-building through local institutions accelerates technology uptake.

8. Conclusion

Smart irrigation technologies — especially sub-surface drip irrigation combined with IoT and AI-based precision agriculture — offer a scalable pathway toward sustainable water management, climate resilience, and food security in the Asia-Pacific region. Successful scale-up depends on integrated policy support, localized technical solutions, inclusive financing, and strong capacity-building efforts. When implemented as farmer-focused climate solutions, smart irrigation systems can significantly contribute to long-term water security and sustainable agricultural development.

The Asia-Pacific region faces acute water scarcity, climate variability, and rising food demand due to rapid population growth and economic development. Agriculture consumes the bulk of freshwater resources in many countries, and traditional irrigation techniques often result in significant water waste, reduced soil health, and diminished crop resilience. Smart irrigation — leveraging digital technologies such as sensors, artificial intelligence (AI), the Internet of Things (IoT), and data analytics — is fundamental to achieving sustainable water management that enhances water use efficiency, improves crop yields, and builds climate resilience across diverse landscapes in the Asia-Pacific.

1. What Is Smart Irrigation?

Smart irrigation refers to systems that automate and optimize water delivery based on real-time environmental and crop needs rather than static schedules. Core technologies include: IoT Sensors (soil moisture, temperature, and weather sensors gathering real-time field data); AI and Analytics (machine learning models processing sensor data to recommend or automatically execute irrigation actions); Automated Controllers and Valves (adjusting watering rates and timing based on analytics and weather forecasts); and Remote Monitoring (farmers monitoring systems via mobile apps or centralized dashboards). Smart irrigation can lower water use by 10–40% compared with traditional methods.

Emerging Technologies: IoT sensor networks collecting hyper-local moisture and climate data; AI algorithms analyzing historical and real-time data to forecast irrigation needs; advanced drip and micro-irrigation systems integrated with smart controllers; remote control systems like Nano Ganesh enabling pump management via basic phone networks; neuromorphic edge computing for ultra-low-power local decision-making; multi-sensor fusion and robotics for automated precision irrigation.

Drivers of Adoption: Water scarcity and climate change heighten water stress, making smart irrigation climate-resilient; government subsidies and programs in India, China, and Vietnam reduce upfront costs; precision agriculture research demonstrates superior yield and resource efficiency; technological innovation reduces costs and improves accessibility for smallholder farmers.

Barriers to Adoption: High initial investment costs (USD 500–2,000 per ha); lack of rural connectivity; limited technical expertise; cultural and behavioral resistance; inadequate policy and regulatory support. Enabling Interventions: Subsidies and financial support; capacity building and training; demonstration projects; participatory approaches; cross-sector partnerships; data-driven monitoring and evaluation.

4. Strategies for Scaling and Impact

Integration with Broader Water-Smart Frameworks: Smart irrigation should align with adaptive water management strategies that consider watershed dynamics, land-use change, and climate impacts. Frameworks like the SIWAMA initiative in the Asia-Pacific combine digital monitoring with participatory governance to ensure sustainable irrigation outcomes.

Capacity Building and Farmer Engagement: Training programs, extension services, and agritech hubs play a crucial role in helping farmers understand and adopt smart irrigation tools. Youth-led innovation programs demonstrate how local leadership can accelerate technology diffusion.

Affordable Financing and Business Models: To reach smallholder farmers, innovative financing — such as sensor-as-a-service or pay-as-you-grow models — can reduce barriers to entry. Public-private partnerships further stimulate investment in rural water infrastructure enabling scalable impact.

5. Conclusion

Smart irrigation represents a transformative opportunity for the Asia-Pacific to manage water resources sustainably, adapt to climate variability, and meet rising food demands. Through harnessing emerging technologies — IoT, AI, precision sensors — and aligning policy, finance, and capacity building, the region can scale smart irrigation systems from pilots to landscape-level adoption. The result will be improved water governance, resilient agricultural systems, and sustainable water management that supports both rural livelihoods and environmental stewardship across Asia-Pacific.

Since 2003, the Asian Development Bank (ADB) has supported multiple water resources and irrigation sector projects across Indian states, focusing on institutional strengthening and policy reform; irrigation infrastructure development and modernization; capacity building of water user associations (WUAs); deployment of digital solutions; promotion of gender equality; application of social and environmental safeguards; and strengthening of procurement, operations, and maintenance (O&M) systems. Selected completed and ongoing projects are summarized below.

1. Climate Adaptation in Vennar Subbasin, Cauvery Delta — Completed

The project enhanced climate resilience in cyclone- and flood-prone coastal districts through climate-resilient irrigation and drainage infrastructure, improving flood risk management, reducing salinity intrusion, and ensuring equitable irrigation water delivery, including to tail-end areas. Key interventions included rehabilitation of 378 km of main channels, construction of 328 irrigation and drainage structures, and upgrading of 13 pumping stations.

Aligned with India’s Twelfth Five-Year Plan and ADB’s Strategy 2030, the project contributed to poverty reduction, disaster resilience, food security, and gender equality. It benefited over 1.0 million people, including more than 0.5 million women, strengthened women’s participation in agriculture training and stakeholder groups, and established sustainable O&M systems with strong institutional ownership.

2. Orissa Integrated Irrigated Agriculture and Water Management Investment Program — Completed

This multi-tranche financing facility supported modernization of irrigation systems across major river basins in Odisha, covering about 215,000 hectares and benefiting approximately 1.7 million people. The program improved irrigation reliability, water use efficiency, agricultural productivity, and participatory irrigation management through strengthened WUAs and revised state water policies.

The investment resulted in increased irrigated areas, higher crop yields, improved cropping intensity, and enhanced institutional performance. Sustainability was supported through strengthened state institutions, dedicated O&M budgeting, trained WUAs, and increased participation of women in irrigation management and agricultural decision-making.

3. Climate-Adaptive Community-Based Water-Harvesting Project, Meghalaya — Ongoing

ADB is supporting climate resilience and rural livelihoods in Meghalaya through the establishment of 532 climate-resilient water-harvesting systems, with a total project cost of $62.5 million (ADB loan: $50 million). The project strengthens state and community institutions to integrate climate adaptation into village water security planning, agriculture, fisheries, horticulture, and other livelihood activities.

The project has developed a state-wide water-harvesting master plan incorporating gender and social inclusion, disaster risk considerations, and alignment with the Meghalaya State Water Policy 2019. High-level technologies such as remote sensing, GIS, and decision support systems are being introduced, positioning the project as a lighthouse model for the northeastern and Himalayan regions.

4. Madhya Pradesh Irrigation Efficiency Improvement Project — Ongoing

The project supports expansion of efficient, climate-resilient irrigation through the Kundalia Irrigation Project, covering over 130,000 hectares via a greenfield piped irrigation network implemented under design-build-operate contracts. Physical works have been completed, and the system is now under a performance-based O&M phase extending to December 2029, with loan closure in March 2026.

Current activities focus on strengthening farmer organizations, SCADA- and IoT-based water distribution, farmer capacity building (including women), operation of farmer service centres and field schools, irrigation service charge collection, and asset management. O&M budgets are ring-fenced, ensuring sustainability and service reliability.

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Water scarcity in the Asia-Pacific region is not only a climatic challenge but also an institutional and behavioural one. From my academic exposure and field-based observations across agriculture-dependent regions in India, I have seen that climate-smart irrigation technologies can be transformative — but only when embedded within supportive socio-economic systems. Subsurface drip irrigation (SDI) has demonstrated clear water-use efficiency gains (30–50%) in horticultural and cash crops, particularly in arid and semi-arid regions of Rajasthan and parts of central India. However, adoption at scale among smallholders remains uneven due to high initial costs, maintenance complexity, and limited technical literacy. Government-backed interventions under India’s Pradhan Mantri Krishi Sinchayee Yojana (PMKSY) and Clean Development Mechanism (CDM) projects have helped offset costs through subsidies and carbon-credit linked financing, improving uptake where extension services are strong.

My observations also highlight emerging alternatives such as hydroponics and vertical (sky) farming, especially in peri-urban and water-stressed regions. These systems drastically reduce water consumption (up to 80–90%) and bypass soil degradation issues, but remain capital-intensive and energy-dependent. Their success depends on access to renewable energy integration and market-linked value chains.

IoT-enabled irrigation and AI-based precision farming pilots supported by India’s Digital Agriculture Mission and state-level smart irrigation policies have shown promise in optimizing irrigation scheduling and reducing over-extraction. Yet, behavioural resistance, fragmented landholdings, and weak last-mile digital connectivity remain significant barriers.

In conclusion, technology alone is insufficient. Scalable adoption requires integrated policy design, financial risk-sharing, farmer-centric training, and localization of digital tools. Climate-smart irrigation must evolve as a socio-technical transition rather than a purely technological intervention to ensure inclusive and climate-resilient agricultural futures.

Scaling smart irrigation refers to the widespread adoption and integration of advanced technologies, such as sensors, Internet of Things (IoT), satellite remote sensing, artificial intelligence, automation, and mobile decision-support systems, to optimize agricultural water use in a sustainable and climate-resilient manner. In the Asia-Pacific context, it involves expanding these solutions beyond pilot projects to reach smallholders and large farms alike, enabling precise, real-time irrigation based on crop needs, soil conditions, and weather patterns. By reducing water losses, improving productivity, conserving groundwater, and enhancing resilience to climate variability, scaling smart irrigation supports sustainable water management, food security, and long-term environmental and economic stability across the region.

In the context of Pakistan, one of the largest countries in the Asia-Pacific region in terms of irrigated area, discussions around SDI and IoT-enabled irrigation systems may be premature. The agricultural sector is still largely in the early adoption phase of pressurized irrigation systems, primarily surface drip and sprinkler irrigation. Also, the use of sensors (i.e., soil moisture meters) is still in its early phases of adoption.

One of the key enabling factors driving adoption is increasing water scarcity, coupled with government subsidies for irrigation equipment and the added incentive of solar system subsidies. However, it is important to remain realistic. Smallholder farmers generally have limited interest in IoT-based solutions, often perceiving them as an additional burden due to cost, complexity, and low technical familiarity.

Medium- to large-scale growers may experiment with sensor technologies, typically in their most basic and cost-effective forms, to test feasibility and value. Nevertheless, expectations of rapid or widespread adoption of advanced digital irrigation technologies would be overly optimistic and, at this stage, largely wishful thinking.

Question 1 Response —
Across water-scarce Asia–Pacific contexts, these smart irrigation technologies have successfully scaled depending on strong institutional arrangements, gradual capacity building, and alignment with local governance structures. A recurring observation is that technology adoption is more sustainable where farmers are not merely end-users but are actively involved in water management decisions through participatory frameworks. Digital tools and automation tend to perform best when they complement clearly defined water allocation rules, collective operation and maintenance arrangements, and trusted local leadership. Where such institutional foundations are weak, advanced technologies often remain under-utilized or dependent on external technical support.

With respect to smallholders, they are more likely to engage with smart irrigation when systems are introduced progressively, starting with assured and equitable water delivery, followed by basic scheduling and efficiency practices, and only later integrating advanced digital decision-support features. Continuous handholding, practical demonstrations, and peer learning have been more effective than one-time technical training, particularly in addressing behavioural barriers and building confidence. At scale, successful initiatives have emphasized simplicity, reliability, and transparency over technological sophistication. While digital monitoring and analytics can support better planning and accountability, farmers tend to value visible improvements in water reliability, reduced conflict, and flexibility in crop planning as the primary drivers of acceptance. Integration with local extension services and community institutions has further helped translate improved water control into productivity and livelihood gains.

Overall, smart irrigation technologies scale most effectively when embedded within participatory irrigation management systems, supported by sustained capacity development and adaptive governance. In such settings, digital and precision tools act as enablers of collective action and climate resilience, rather than as isolated technological interventions.

Question 2 Response —
Smallholder adoption of smart irrigation technologies in the Asia–Pacific region is shaped less by the availability of hardware alone and more by a combination of policy, institutional, behavioural, socio-economic, and technical factors. In Indian context these factors can either constrain or enable uptake. Hence, effective adoption requires moving beyond a purely technical focus toward farmer-led governance models that ensure long-term ownership and institutional sustainability. A key enabling policy shift has been the transition from top-down irrigation management to participatory and decentralized frameworks, such as the Water User Association (WUA) models being scaled under the Government of India’s Modernization of Command Area Development (MCAD) guidelines led by the Ministry of Jal Shakti. For such systems to function effectively, farmers must play a central role in decision-making and day-to-day management. Common impeding factors include weak legal recognition of farmer institutions, limited operational capacity, and behavioural passivity resulting from long-standing supply-driven irrigation practices. These constraints have been addressed through the formation of legally recognized WUAs with clearly defined rules for water allocation, scheduling, cost sharing, and system maintenance. Complementary capacity development focuses on irrigation planning, basic upkeep, and adaptive crop choices, including diversification strategies suited to periods of water stress.

From a socio-institutional perspective, anchoring smart irrigation initiatives within existing local governance structures has proven critical. Grassroots leadership roles such as Jal Mitras (volunteer motivators), Jal Pradhans (community leaders), Chak Committees, and Chak Leaders strengthen accountability at the field level and help translate system-level rules into routine practice. Regular awareness activities and sustained handholding have contributed to reduced vandalism and misuse, improved compliance, and greater trust in collectively managed infrastructure.

These Participatory Irrigation Management (PIM) approaches are more effective in overcoming adoption barriers than technology-led interventions alone. Strengthening WUAs and embedding them within local governance systems enables farmers to collectively plan water use, oversee operations, and manage routine maintenance. Continuous, phased capacity development focused on practical water management and crop planning under variable water availability has been central to building confidence, accountability, and collective ownership. Overall, this approach reinforces the “resource-to-root” concept as a social and institutional process, not merely a technical one. By placing farmers at the centre of governance and management, PIM frameworks promote equitable and efficient water use, reduce conflict and system misuse, and enhance livelihood resilience. These institutional gains provide a scalable pathway for climate-resilient irrigation development across smallholder systems in the Asia–Pacific region.

I might have a different opinion, so please forgive me if this is not the viewpoint you anticipated. With that in mind, I would like to express my thoughts openly.

Although technologies like SDI, IoT-enabled irrigation control, and AI-driven precision farming are attracting interest from tech-oriented farmers/agricultural departments and the private sector, they are still quite disconnected from the realities faced by smallholder farming communities or agricultural departments designed to support them. Many small farmers find it hard to make a profit from systems that are already low-margin and expensive. For them, these technologies are not just tools; they represent a significant financial, technical, and institutional challenge.

We need to consider what these technologies require from farmers whose average education may not exceed high school and whose yearly income might only be a few hundred dollars. Do the expected benefits truly justify the considerable capital investment and skill requirements? And are agricultural extension services ready to support such advanced tools when they often struggle to provide even basic advice on planting times, seed choices, and pest control?

There is no doubt that these technologies can be beneficial, but likely only in specific situations and for a group of farmers who have the means and skills to utilize them effectively or local agriculture departments capable enough to deploy/work with the private sector/provide useful advice for the users. The current strategy of testing these “high-tech solutions” with wealthy and well-educated farmers may actually strengthen the belief among regular farmers that such technologies are “not meant for us,” further deepening the digital and innovation gap in agriculture (these technologies are still seen as “Boys’ Toys”).

For most farmers and agricultural institutions in Asia, there is an urgent need for access to simpler, affordable, and reliable technologies, along with strong support for building their skills. For now, these advanced tools can be reserved for a small, privileged group. Current experiences show that while precision agriculture is high-tech, it often falls short in delivering real-world cost-benefit results for smallholder farmers. However, it is important to note that there is still a lack of systematic research to definitively confirm this.

These technologies could be truly beneficial when implemented at the community or landscape level, with centralized analysis from local agricultural departments or farmer organizations, supported by trusted advisory systems, and backed by clear demonstrations of costs, benefits, and suitability. Only then can farmers make informed choices about whether these tools meet their needs.

ICAR has initiated national programs and research networks focused on precision agriculture, such as the ICAR Network Programme on Precision Agriculture (ICAR-NePPA). This program involves multiple institutes working on data, analytics, precision livestock, aquaculture, and agritech solutions to enhance input use efficiency and productivity. Research shows that precision nutrient management and irrigation adjustments can boost crop performance and input efficiency.

Despite these encouraging findings, there is limited large-scale evidence of widespread adoption or systemic impact across India’s mainly smallholder farms. Most demonstrations of precision technology are localized, and many solutions (like drones, smart sensors, and AI tools) are still in pilot phases. Adoption is generally higher among better-resourced or larger farms rather than typical smallholders, partly due to costs, technical complexity, and gaps in capacity.

My general evaluation is that it is effective in certain areas, holds great potential, and has inconsistent success rates. There is a significant gap in implementation, as adoption relies on factors like capacity, cost, support for extension, and the readiness of farmers. These remain crucial barriers to turning research innovations into widespread effectiveness.

I hope this is helpful. I am happy to provide further clarification if needed.

We wish to thank all members for the rich discussion on smart irrigation in the Asia Pacific region. Several common factors for success have been mentioned — robust farmer organizations, demonstration plots, extension support. In my humble opinion, four critical gaps could convert these good examples into scalable public goods.

1. Evidence for decision making
Many members report savings of 30 to 50 percent water and increases in crop yield of 20 to 30 percent. However, as a policy maker, a more precise investment logic is required for policymakers and investors:
— What is the cost per hectare?
— How soon do farmers repay their investment?
— What is the public return on subsidy programmes?
This analysis would enable the government to focus on investments and technology transfer.

2. Inclusion: Who Benefits and Who Is Missing?
Smallholder farmers featured prominently in the discussion, but gender and youth are invisible in the answers. However, women constitute almost half of the agricultural labour force in the region, but the adoption rate of technologies is usually based on male-dominated cooperatives. FAO pilots in Indonesia demonstrate that women trained in sensor-based irrigation systems increased household incomes by 15–20 percent. The Drone Didi experiment in India has also yielded good learnings. Youth-driven digital platforms in Pakistan are also accelerating climate advice adoption and preventing migration.

3. Learning from What Did Not Work
A more honest assessment of failures and risks would help us avoid expensive repetition. For e.g. SDI systems were abandoned due to clogging and spare part shortages; Flood-prone pilots were affected by cyclones in Pacific islands; Imported technologies often do not match local soils and cropping systems; Post subsidy maintenance gaps causing 20–30 percent attrition of use.

4. Institutional Readiness and Data Integration
Technology alone is not sufficient. Upscaling requires extension workers trained in digital agronomy and local service ecosystems for maintenance and spare parts and interoperable data platforms need to connect sensors, weather, soil, and advisory services.

The above points are for members’ reference.

Many thanks to all who contributed to this query! The Community of Practice on Climate Technologies aims to foster technology cooperation and transfer through enhanced knowledge exchange and cross-border collaboration in Asia Pacific. If you have further information to share on this topic, please send it at [email protected].