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

An all purpose flutter app for farmers made under Food and Agriculture theme in Accelathon hackathon

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 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…

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

SmartCrop: Intelligent Crop Recommendation

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

A mobile application involving machine learning to recommend crop variety and also predict crop yield.

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.

Predicting Crop Yield.

Android application which includes features like best crop prediction using ML model, live weather, live news Feed and much more. 😀

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.

The AI-driven Crop Prediction System that applies Machine Learning and AI to analyze weather, soil, and crop data to predict crop health and yield. This system provides farmers with precise predictions, empowering them to make data-driven decisions and enhance their farming practices.

This Github Repository Contains a machine learning powered crop price prediction application with a firebase connected login and signup

Prediction of suitable crop using soil and weather conditions.

Build@ARSD - Tech for Good

Revolutionize your farming with Farmwiser, the ultimate TinyML based Smart Agriculture solution!

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

"Excited to share my latest project on LinkedIn: a crop yield prediction ML model deployed with Streamlit! 🌱 Leveraging the power of Stochastic Gradient Descent regression(SGD) algorithm, this tech-driven solution boasts an impressive 94% accuracy on both training and testing data.

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.