crop classification using deep learning on satellite images

Set of Machine Learning Algorithms developed with the aim of determining health states of different types of crops

An app made for Smart India Hackathon 2018. An idea to help farmers of India to sell their products at much higher rate and with ease. With a vision to positively impact agriculture industry in India.

Agricultural Monitoring exploiting Sentinel 1 and Sentinel 2. SandboxNL contains detailed explanations about the creation and usage of the parcel based Sentinel datasets.

Predicting rice field yields through the integration of Microsoft Planetary satellite images, meteorological data, and field information in the 2023 EY Open Science Data Challenge - Crop Forecasting.

Agricultural Land Use Evaluation System

Estimating shapes and volumes of Capsicum fruits (bell pepper) by fitting superellipsoids to 3D mapping data for autonomous crop monitoring tasks for ROS1

Caloric Suitability Index

An R package for simulating Generalised Management Strategy Evaluation

Comprehensive database for diazotroph nitrogenases, alternative nitrogenases, and nitrogenase-like enzymes at the University of North Carolina at Charlotte (UNCC)

Materials for NCEO crop modelling, Earth Observation and DA workshop in Accra

Agri Arena : The Nature's Wisdom for Modern Agriculture 🌼

Scripts associated to the paper to be published

Modern Agriculture store website

A website that allows farmers to input their soil and location details and get a recommendation for the crop to grow and fertilizer to use, using machine learning models.

Processor showcasing how to compare vegetation index before and after an event to determine impacted areas.

Repo for the Climate Avengers Project. Grad Team project on multi-source data integration to geolocate, detect and predict at risk crops across the US.

CuHacking, TAMUhack Winner - AI Cassava Plant Disease Detector

A basic simulation of a coffee operation.

An app for improving agriculture ROI -- sensor based calculation

Developed an android mobile app (GreenFinder), trained, and evaluated two deep learning image classification models for the use-case. The mobile app classifies scanned fruits, vegetables and flowers, as well as provides knowledgeable information on each classified item.

No description provided.

MOVED: Development of this project continues at

Using Genetic programming, an Evolutionary Algorithm, to solve and research the problem of Symbolic regression analysis and Rice Classification.

Predicting the best suitable crop based on various parameters. The model is based on Random Forest Algorithm

AI agent with custom plant sensor data input, designed to assist your grow 24/7

A demonstration platform designed for agricultural extension services, facilitating outreach and providing a hub for seeking assistance.

Agtor: an agricultural water management model built in Python 3

Aquacrop-OSPY implementation to analyze the effects of changing irrigation schedules and irrigation depths on key crop parameters.

🌾 OWL Ontology for the EURAKNOS project about EU agricultural resources