AabPashi by Farmovation

Inspiration

AabPashi was born out of the pressing need to solve a deeply rooted agricultural crisis in Pakistan—water scarcity, climate-driven crop failure, and the lack of accessible digital solutions for smallholder farmers. Traditional irrigation systems are inefficient and resource-intensive, resulting in billions of dollars in annual losses. Inspired by this gap and the potential of AI and satellite technology, we set out to build an inclusive, cost-effective platform that delivers real-time, actionable irrigation insights—without requiring on-field IoT hardware.

What it does

AabPashi is an AI-powered irrigation intelligence platform that uses satellite imagery, climate data, and proprietary algorithms to generate farm-specific water management recommendations. It provides farmers, agronomists, and policymakers with data-driven insights on crop health, soil moisture, canal water schedules, and optimal irrigation timing. The platform is accessible via a web dashboard and mobile interface, available in multiple languages, and is offered free of cost to farmers across Pakistan.

How we built it

The platform was developed using Next.js for the frontend, integrated with Google Maps Platform and Earth Engine for satellite visualization. AI/ML models were trained on environmental indicators such as NDVI, NDWI, and LST to estimate water stress. We used Firebase and Supabase for backend services and data management. Our team also collaborated with agronomists and field agents to validate and refine the advisory system, ensuring both scientific accuracy and local relevance.

Challenges we ran into

Key challenges included working with inconsistent satellite data due to cloud cover, ensuring the platform remained lightweight for rural users with limited connectivity, and building trust among farmers unfamiliar with digital advisory systems. Additionally, integrating multiple data sources into a single advisory model while maintaining accuracy and real-time performance required significant experimentation and tuning.

Accomplishments that we're proud of

We successfully piloted AabPashi across multiple regions in Pakistan, covering over 100,000 hectares and delivering measurable improvements in water productivity and crop yields. The platform aims to save over 5 billion liters of water and empowering rural farmers—especially women—through training and digital access. These outcomes directly support Pakistan’s climate resilience and agricultural sustainability goals.

What we learned

We learned that technological innovation alone is not enough—accessibility, trust-building, and cultural alignment are essential for adoption. Farmers need simplicity, local language support, and clear return on investment. We also gained deep insights into how environmental data, when contextualized through AI, can bridge the gap between science and practical, on-farm decision-making.

What's next for AabPashi by Farmovation

Our next focus is on scaling AabPashi to additional countries with similar agricultural profiles, such as Sri Lanka, Argentina, and Portugal. We are also developing new modules for crop planning, farm financing, and climate risk forecasting. Strategic partnerships with governments, NGOs, and agribusinesses will help us expand our impact, with a goal of reaching 1 million hectares under smart irrigation by 2027 and contributing to a globally recognized model for climate-resilient agriculture.

Built With

• digitalocean
• google-earth-engine
• google-maps
• leaflet.js
• mongodb
• next.js
• python
• vercel