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

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

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.

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

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

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

An Agriculture Assistant - Comes with an AI model, along with a website to make the task of monitoring crop produce and quality easier, faster and better for the farmers. Made for Imagine Cup 2022.

Crop recommend System on the basis of location .

Xamarin.Forms app for field inspections

The food revolution for Fabric 1.15

A Python-backend for radiative transfer model inversion for crop trait retrieval

An Agriculture App that identifies which crop suits the best for a farmer of a particular locality/city, as per the soil type, weather conditions, crop prices, demand and supply parameters.

R data package with source datasets and codes for the manuscript: "Dataset characteristics for the determination of critical nitrogen dilution curves: from the past to new guidelines"

Implementation of the WOFOST crop yield model to simulate crop yields in the UK

It has 12 Classes for twelve different types of crops. This Dataset is in a zip file containing twelve folders of each plant containing their pictures. It is a Image Classification Problem, which can be easily solved Deep Learning Models such CNN(Convolutional Neural Networks)

A smart, user-friendly web app built to solve real challenges with efficiency, security, and scalability — making problem-solving simple and impactful

Comparison of CNNs models for pests detection.

Adds in right-click harvesting to crops and auto replants afterwards.

Tools for extracting and preparing Digital Earth Australia Satellite Multi-Spectral Images for use in Deep Learning Machine models.