Model code and Web Build
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Updated
Oct 15, 2023 - Jupyter Notebook
Model code and Web Build
Hariyali is a web application which is used for crop prediction, fertilizer prediction and crop disease prediction.
It is a platform designed to develop location-, context-, and climate- specific agricultural advisories particularly related to optimal fertilizer application
Farmify is a Python-based project designed to help farmers with crop disease prediction, crop recommendation, and fertilizer suggestions. It utilizes machine learning models and Flask for web application development.
ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.
Online portal for making recommendations for a fertiliser based on soil paramenters using Machine Learning.
Hariyali is a web application which is used for crop prediction, fertilizer prediction and crop disease prediction.
A R package to advice optimal mix of fertilizers
FastAPI backend for CropFusionAI
Predicting the type of fertilizer to be used depending on the crop type and soil type
ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.
Smart Irrigation System
Helping Farmers make informed decisions with Machine Learning ! 👩🌾🚜
The Crop Management System is a machine learning-based project designed to provide predictions and recommendations for farmers.
A platform of machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.
Precision Agriculture based ML and DL project (local host deployment) which have features of crop recommendation, fertilizer recommendation and pesticide recommendation.
ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.
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