This web application uses Machine Learning to recommend crop, fertilizer, pesticide and storage process based on various variables. Algorithm used is SVM for multi-classification
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Updated
Jan 14, 2020 - HTML
This web application uses Machine Learning to recommend crop, fertilizer, pesticide and storage process based on various variables. Algorithm used is SVM for multi-classification
BigDataGrapes H2020 project
Revoltionizing Precision Agriculture with Real-Time data integration and analysis. Enhancing crop yield, sustainability, and farmer independence using IoT, Cloud and AI.
A web app based on classification algorithm (KNN) which recommends the best suitable crop using the soil nutritional data and weather data. The model has 99.96% accuracy and it is very beneficial for farmers to make more informed decision about which crop to grow.
The system is designed to segment crops from the background in images collected by Unmanned Aerial Vehicles.
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