Crop recommendation Web Application using Machine Learning along with fertilizer and cultivation season recommendation made with flask. The Prediction is performed using Random Forest Model
-
Updated
Jun 19, 2023 - HTML
Crop recommendation Web Application using Machine Learning along with fertilizer and cultivation season recommendation made with flask. The Prediction is performed using Random Forest Model
METADATA-FARMER ASSISTANCE WEBAPP | AI & ML
Prediction of suitable crop using soil and weather conditions.
With this project, we hope to help solve the problems faced during farming and help the farmers, government and consumer by highlighting the advantages of using Machine Learning to predict crop yield and present an alternate supply chain by using block chain and decentralized the entire process.
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
Add a description, image, and links to the crop-prediction topic page so that developers can more easily learn about it.
To associate your repository with the crop-prediction topic, visit your repo's landing page and select "manage topics."