1. Collecting historical data of weather parameters from the IMD-stations
2. Generation of the database by collecting real-time data of soil, weather, and crop parameters from IoT-based EAgriSTM (installation of EAgriSTM at 2-3 different
locations)
3. Development of a web portal for gathering the data at the cloud server for further usage
for AI/ML algorithm development
4. Development of machine learning model for prediction of disease and pest by using
quantitative data.
5. Development of a mobile application and SMS-based system to facilitate communication with farmers for announcing the advisories: Configuration of iAgriSTM mobile app and EAgriSTM web portal for onion crop giving real-time updates of onion
farm conditions.
6. Field deployment of mobile-App for around 150-200 farmers for field trials
7. Monitoring and assessment of the performance of the mobile app and troubleshooting
if any issue.
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