DSSAT Cropping System Model

crop classification using deep learning on satellite images

A geospatial raster processing library for machine learning

A Python library for crop modeling using DSSAT

AgrO describes agronomic practices, techniques, and variables used in agronomic experiments.

Recommendation system for farmers based on soil type, location, season etc.

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

Implements weather station class in Python that calculates ETo (reference crop's evapotranspiration) based on UN-FAO Irrigation and Drainage Paper 56

Soil parameter estimation from hyperspectral satellite images

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.

Drone Based System for Plant Monitoring and Data Collection using Computer Vision. (Yolov4, DeepSORT, OpenCV)

🎓 Uni-Bonn Decision Analysis graduate course, lectures and materials

My modified version of YoloV5 training, cross-validation and inference with Pseudo Labelling pytorch pipelines used in GWD Kaggle Competition

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

AgriGS-SLAM: Orchard Mapping Across Seasons via Multi-View Gaussian Splatting SLAM

It is an application that leverages benefits of CNNs and predicts the disease of an infected plant by examining the image of the infected leaf. It also provides the organic method to prevent the disease.

Public repository of our IGARSS 2023 submission

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

Agricultural Raspberry Pi Car

Deep multiple instance learning based wheat diseases diagnosis system

Caloric Suitability Index

A R package for Participatory Plant Breeding statisticial analyses

This app helps the farmers to convert from a food crop to a commercial crop by providing a full fledged cost and risk analysis.

Implementation of an advanced Convolutional Neural Network (CNN) for large-scale pest recognition, incorporating augmentation techniques and regularizers for improved accuracy and generalization.

Shiny applications and dashboards in R

Farmatica is an advanced agricultural system powered by state-of-the-art AI (Artificial Intelligence) and ML (Machine Learning) technologies

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

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

A Computer Vision Project done from corn field to COLAB.