Archive · 14 Nov 2025
Teen's Smart Irrigation App Aids Rajasthan Farmers
Imagine a 17-year-old girl named Sharanya who saw farmers struggling to water their crops.
Sometimes they used too much water, and sometimes not enough, because they weren't sure when to water or how much.
So, Sharanya invented a smart phone app called a Decision Support System, or DSS.
This app acts like a helpful guide for farmers.
It uses special sensors in the ground to check how wet the soil is, looks at weather reports, and even uses information from satellites.
Then, it tells the farmer exactly when and how much to water their plants.
The app is easy to use, with pictures and even voice instructions in different languages, so everyone can understand.
Farmers who have used it say it helps them save water and fuel, and their crops grow better.
Sharanya hopes her app can help many farmers in India use water wisely.
Sharanya Mehta, a 17-year-old, developed a Decision Support System (DSS) app to optimize irrigation for farmers.
The DSS integrates data from soil sensors, satellite imagery, and weather forecasts to provide precise irrigation advice.
Designed for accessibility, the app features a user-friendly interface with color maps, voice prompts, and offline capabilities in multiple languages.
Field trials in Mandaura, Sonipat, demonstrated significant potential for water and diesel savings, alongside improved crop health.
The innovation has received recognition, including a CREST Gold Award and a provisional patent filing for the DSS technology.
- Who
- Sharanya Mehta, a 17-year-old Class 12 student
- What
- Developed and tested a Decision Support System (DSS) app that uses sensor and satellite data to guide farmers on optimal irrigation practices.
- When
- Field trials and system development occurred throughout 2025, with recognition and patent filing in August 2025.
- Where
- Field trials conducted in Mandaura, Sonipat, India; broader application envisioned for regions facing water stress.
- Why
- To address water scarcity, improve irrigation efficiency, reduce resource waste (water, diesel), and alleviate farmer uncertainty caused by traditional irrigation methods.
Traditional Farming Methods
Sharanya Mehta's Decision Support System (DSS)
Irrigation Decisions
Traditional Farming Methods
Farmers often relied on guesswork, tradition, or visual cues like soil appearance and cracking to decide when and how much to water.
Sharanya Mehta's Decision Support System (DSS)
The DSS uses data from soil sensors, satellite imagery (NDMI), and weather forecasts to provide precise recommendations on irrigation timing and amount.
Resource Management
Traditional Farming Methods
Inefficient irrigation practices led to wasted water, excessive diesel consumption for pumps, and crops suffering from under- or over-watering.
Sharanya Mehta's Decision Support System (DSS)
The DSS aims to optimize water usage, reduce diesel consumption, and improve crop yields by providing tailored irrigation schedules, potentially saving up to 25% water.
Accessibility for Farmers
Traditional Farming Methods
Farmers faced uncertainty and 'seasons of uncertainty' with traditional methods.
Sharanya Mehta's Decision Support System (DSS)
The DSS features a user-friendly mobile app with color-coded maps, voice prompts, video guides, and offline access, available in multiple local languages to accommodate semi-literate users.
- Innovator
- Sharanya Mehta
- Age
- 17 years old (Class 12)
- Project
- Decision Support System (DSS) for Smart Irrigation
- Inspiration
- Observing water scarcity and inefficient irrigation practices in villages during childhood summers.
- Key Technologies Used
- Soil sensors (capacitive/TDR), Satellite data (ISRO Bhuvan, Sentinel-2 NDMI), Weather forecasts, Cloud computing (AWS/Azure), Python, Node.js
- App Features
- Color-coded moisture maps, tailored irrigation schedules, alerts, voice/video guides, multi-language support, offline functionality
- Potential Benefits
- Up to 25% water savings, reduced diesel consumption, improved crop yields, reduced farmer uncertainty
- Recognition
- CREST Gold Award (August 2025), Provisional patent filed for the DSS