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.

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

Crop Prediction using Machine Learning (Classification Use Case)

This contains only frontend code of the project to run this, you'll have to clone the backend repo in your machine and run the backend with the python scripts first, below is the deployed link where you can check the working of the webApp

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

METADATA-FARMER ASSISTANCE WEBAPP | AI & ML

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

App for monitoring crop environmental conditions, allowing the farmer to get insight and take better decisions.

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

Forecasting crop yields is a crucial element of farming, enabling growers to make well-informed choices regarding their agricultural output. This process entails predicting the quantity of crops expected to be harvested within a specific region, taking into account factors like soil composition, climatic patterns, and agricultural techniques.

"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.

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.

Build@ARSD - Tech for Good

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

Deployed ML-Backend Server to predict the best crop you should sow in your fields depending on environment conditions.

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

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