Data_Geeks (HX008) - AI4Kisaan

[Aditya-shahh]

DATA_GEEKS - AI4Kisaan

ℹ️ Project information

• Project Name: AI4Kisaan
• Short Project Description: Crop disease detection and remedy suggestion using Deep learning, and Android
• Team ID: HX008
• Team Name: Data_Geeks
• Team Members: Aditya Shah, Somya Dwivedi
• Repository Link: https://github.com/Adishah3103/AI4Kisaan
• Labels: Mention the labels you wish to apply here

🔥 Your Pitch

It's said that "There's nothing more powerful than an idea whose time has come"
The history of Agriculture in India dates back to Indus Valley Civilization and even before that in some places of Southern India. India ranks second worldwide in farm outputs. However, the population on this agricultural land is increasing rapidly and to support it we require enough food resources. Afterall human civilization completely depends on agriculture. But food production is already facing some serious problems such as Climate Change, Pollution and Plant Disease. According to recent studies, the later one accounts for 42% loss of six major food crops on an average. On the other hand, the adoption of smartphones with an active internet connection is rising. We can put these smartphones to good use by adding functionality to detect plant disease instantly and get a remedy for that, thus curing the disease if possible and avoid spreading it further. This inspired us to develop an application for plant disease detection by utilizing the existing technologies. The application detects the plant disease from the snapshot of the plant leaf. The farmer has to just capture the plant leaf image from our app on his mobile. The app will send this image to our AI system. The AI system will then accurately detect the disease if any, present on the plant and report it to the farmer.

🔦 Any other specific thing you want to highlight?

From the beginning of the hackathon, we have always focused on building an accurate solution and not just a solution. We have succeeded in creating a deep learning model from scratch with 96% accuracy which is trained over 10,000 different images of healthy and diseased plants. Once the model is deployed, it is ready for large scale agricultural use.

Future scope

Future enhancements can be integrated into the project which can make it a complete one step AI solution to smart farming. Apart from detection and remedy of the disease, the AI model can also predict how fast the disease can spread over the farm, what are the necessary steps to reduce it, best pesticides/ fertilizers and weather suitable for a particular crop, etc.

✅ Checklist

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