A geospatial raster processing library for machine learning

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

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

A Python library for crop modeling using DSSAT

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

Agricultural Raspberry Pi Car

Public repository of our IGARSS 2023 submission

Deep multiple instance learning based wheat diseases diagnosis system

🏞️ strategic landuse for agriculture and ecosystem recovery.

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

AgriAid is an AI-powered tool for farmers & agricultural agents in Bangladesh, offering plant disease forecasting & identification. Using machine learning, deep learning & Python, it helps increase crop yield & food security.

leaf segmentation using python opencv

Submission for SELECT Make-A-thon '18, Vellore Institute of Technology

A dashboard is a practical tool for developers of agricultural applications that makes a visual representation of Agricultural APIs and weather APIs. This dashboard is built using the python Streamlit library.

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

Annotation software for crop structure (keypoint and bounding box)

Transformer template for plot level RGB data analysis. Please read HOW_TO.md to start

Using MLT to predict the risk profile of farmers and suggestive measures based on it.

Public repository of our IGARSS 2023 submission

Published in GigaScience. Web app for post-GWAS/QTL analysis that performs a slew of novel bioinformatics analyses to cross-reference GWAS/QTL mapping results with a host of publicly available rice databases