Research center for food and agricultural development.
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Updated
Jul 7, 2024 - Python
Research center for food and agricultural development.
Code for: Country-scale cropland mapping in data-scarce settings using deep learning: A case study of Nigeria, 2023.
Agricultural Classification and Estimation Service
A machine learning model designed to classify plant diseases based on leaf images using a convolutional neural network.
Data models related to the Smart Agrifood Domain. Includes data models for Crops, Farms, Animals, Land Use & etc.
A proof-of-concept to test the LINDAS + R + GitHub + Datawrapper tech stack.
Tools and Statistical Procedures in Plant Science
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
Python-based tool for agricultural data analysis using multispectral imagery. It provides functionalities for image acquisition, alignment, stitching, and the calculation of vegetation indices such as NDVI.
Blogs, Tutorials, and Learning topics. All are welcome to contribute.
🌾 A curated list of awesome regenerative agriculture topics and resources.
Hydroponics, a modern approach to agriculture, involves growing plants without soil. In this method, plants are suspended in water and provided with essential nutrients. The aim of this project is to build a IoT-based automated hydroponic system, which can effective in outdoor farming as well as indoor farming.
Lesson materials for Module 1 (M1), "Open Climate Data"
The core repository for the FOODON food ontology project. This holds the key classes of the ontology; larger files and the results of text-mining projects will be stored in other repos.
Detect diseases in olive trees by using advanced machine learning algorithms like CNN & deep learning.
🎓 Uni-Bonn Decision Analysis graduate course, lectures and materials
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