farmOS: A web-based farm record keeping application.

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

Tool for automating common video key-frame extraction, video compression and Image Auto-crop/Image-resize tasks

Liquid Prep offers an end-to-end solution for farmers looking to optimize their water usage, especially during times of drought.

[WACV 2023] Information and scripts for the CropAndWeed Dataset

A KMER-based genome-wIde Assocation testing approach on polyploids

This is a rough project to simulate a real-time smart farming system, complete with crop prediction, fertiliser prediction, weather analysis and soil quality management.

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

Nutrient Value Recommendation System for crops w.r.t rainfall patterns embedded with rainfall prediction system.

CropConnect is a comprehensive web platform designed to facilitate wholesale crop trading, connecting farmers and buyers in an intuitive and efficient marketplace. With separate interfaces for sellers and consumers, CropConnect streamlines the process of buying and selling crops while providing valuable features for both parties.

Image segmentation of cultivated land

This repository holds the code for an R package called CropPhenology. The package extracts phenological information of crops from multi temporal remote sensing vegetation index images

Automated cultivation system for plants & mushrooms using Raspberry Pi

A framework to build plant models at the scales that matter

Prediction of yield and profitability of crop records of India for the agricultural sector using machine learning techniques

This Problem is based on a Image Data set consisting of different types of weeds, to detect them in crops and fields. I have used Deep Learning Model called CNN(Convolutional Neural Networks) with Dropout, Batch Normalization, ReduceLearning rate on plateau, Early stoppig rounds, and Transposd Convolutional Neural Networks.

Web-interface to the Biofuel Ecophysiological Traits and Yields Database (used by PEcAn and TERRA REF)

[CVPR 2026] ReLeaf plant-leaf segmentation framework and CropAndWeedAndLeaf dataset

🌱🍎🍆 A shell script to parse the data by the Food and Agriculture Organization of the United Nations on crops/fruits.

Crop recommend System on the basis of location .