The first conception of the problem statement by the team was to make an app which was to work with little involvement by the researchers. The plan was to train the system with the data base available using neural networks and respond with the computed solution. In case there is no match beyond a threshold value, researchers could be prompted.
Existing challenges and future scope:
The app is limited for paddy and farmers have requested it to be a multi crop app. The app presently does not allow filling data offline and upload it when the device goes online. This is a key feature since network is erratic in the regions we’ve visited. Currently, the app is specific to Gujarat, it could be extended to other parts of the country. This would help share knowledge, farmers from across the country could share knowledge resulting in efficient use of pesticides and usage of good seeds.
The team is extremely grateful to the farmers’ support and hospitality. They’ve given us honest feedback regarding the app and on a personal level, they’ve been the kindest. Special Mention, Hajur Singh Bhai, who has helped us connect with more farmers and willing to share the app in the farmers’ whatsapp group and help farmers’ use it. The team feels fortunate to work with Dr. Satya, Dr. Noushad, Dr. Hardev and Prof Anil Gupta who have given us feedback constantly and helped us make it better at every stage.