DSSAT Cropping System Model
-
Updated
Nov 26, 2024 - Fortran
DSSAT Cropping System Model
A geospatial raster processing library for machine learning
crop classification using deep learning on satellite images
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
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.
Drone Based System for Plant Monitoring and Data Collection using Computer Vision. (Yolov4, DeepSORT, OpenCV)
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
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.
Agricultural Raspberry Pi Car
Public repository of our IGARSS 2023 submission
Add a description, image, and links to the agriculture-research topic page so that developers can more easily learn about it.
To associate your repository with the agriculture-research topic, visit your repo's landing page and select "manage topics."