DSSAT Cropping System Model

A geospatial raster processing library for machine learning

crop classification using deep learning on satellite images

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

A Python library for crop modeling using DSSAT

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

Segmenting center pivot agriculture to monitor crop water use in drylands with Mask R-CNN and Landsat satellite imagery

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.

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

Soil parameter estimation from hyperspectral satellite images

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

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

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

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

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.

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

Public repository of our IGARSS 2023 submission

Agricultural Raspberry Pi Car