DSSAT Cropping System Model
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Updated
Sep 6, 2024 - Fortran
DSSAT Cropping System Model
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
Recommendation system for farmers based on soil type, location, season etc.
AgrO describes agronomic practices, techniques, and variables used in agronomic experiments.
Prediction of yield and profitability of crop records of India for the agricultural sector using machine learning techniques
A Python library for crop modeling using DSSAT
A geospatial raster processing library for machine learning
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.
Implements weather station class in Python that calculates ETo (reference crop's evapotranspiration) based on UN-FAO Irrigation and Drainage Paper 56
Agricultural Monitoring exploiting Sentinel 1 and Sentinel 2. SandboxNL contains detailed explanations about the creation and usage of the parcel based Sentinel datasets.
A R package for Participatory Plant Breeding statisticial analyses
Soil parameter estimation from hyperspectral satellite images
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.
Deep multiple instance learning based wheat diseases diagnosis system
🛜 Terrafarms Internet of Things
This app helps the farmers to convert from a food crop to a commercial crop by providing a full fledged cost and risk analysis.
🎓 Uni-Bonn Decision Analysis graduate course, lectures and materials
Caloric Suitability Index
R toolbox to download and extract data from the "Agrometeorological indicators from 1979 to present derived from reanalysis" (AgERA5) dataset.
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