A machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.

AI-based voice-assisted Contact Center for assisting Farmers for their problems.

A machine learning model in python that recommends the best crop to grow based on Soil composition, Ph level, rainfall and geographical location.

An application that provides complete assistance to farmers right from sowing to harvesting. Its features include plant disease detection, crop recommendation, real-time API support for environment analysis, detailed crop-cost analysis, buy/sell/rent farming equipment and an interactive farmers' community.

ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.

A platform of machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.

Saathi - Crop recommendation using ML and plant disease identification using CNN and transfer-learning approach

Precision Agriculture based ML and DL project (local host deployment) which have features of crop recommendation, fertilizer recommendation and pesticide recommendation.

Developed a machine learning-based crop prediction model to assist farmers in making informed decisions about crop selection, planting, and harvesting.Integrated weather and geolocation APIs along with a web page for simplified user experience.

The Crop Management System is a machine learning-based project designed to provide predictions and recommendations for farmers.

An Intelligent Crop Recommendation system using Machine Learning that predicts crop suitability by factoring all relevant data such as temperature, rainfall, location, and soil condition. This system is primarily concerned with performing AgroConsultant's principal role, which is to provide crop recommendations to farmers.

ML based Smart Crop Recommendation System with Disease Identification, utilizing CNNs. It aids farmers in selecting crops, managing diseases, and boosts productivity by integrating weather and geolocation APIs.

Crop Recommendation System using Random Forest Algorithm in Partial Fulfillment of the Final Project on MAN206 Predictive Modelling and Machine Learning

AgriCrop is a Crop Recommendation System built on Machine Learning techniques to recommend the best fitted crop for the given condition by the user.

Crop Recommendation - DAC Project

The model focuses on predicting the crop yield in advance by analyzing factors like district (assuming same weather and soil parameters in a particular district), state, season, crop type using various supervised machine learning techniques. This helps the farmers to know the crop yield in advance to plan and choose a crop that would give a bett…

"SowEasy " is a Crop Recommendation system that compares various machine learning models and provides the best crop to plant depending on various factors.

Helping Farmers make informed decisions with Machine Learning ! 👩‍🌾🚜

Explore our tools to make informed agricultural decisions.

Farmer assistant system VCET Hackathon 2k22