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

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

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

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.

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

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

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.

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

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

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

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…

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

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

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.

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

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.

We propose an Intelligent Crop Recommendation and Yield prediction system using Machine Learning that predicts crop suitability by factoring all relevant data such as temperature, rainfall, location, and soil condition. The Yield is predicted based on the parameters of area of land available, agricultural season and the past observations of yield .

Crop Recommendation - DAC Project

"Kisaani" is an application that takes required parameters intelligently or from the database of the location (from the cloud) and provides the list of best crops suited for that land. The application should also be able to collect the outcome after cultivation and apply correction as appropriate for further advisories. The details of the crops …

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