Ai4agricuture NDVI component
An algorithm to rectify NDVI measurements from sentinel 2 images.
Main Characteristic
Sentinel-2 sattelite images are easy to obtain and open to all. Plant vigor assessment from these images can be beneficial if done accurately. This component is served as a docker image to rectify NDVI computed from sentinel 2 images with the help of drone images.
This is a part of project Ai4Agri.
Research areas
Explainable AI
Technical Categories
Machine learning
Last updated
25.11.2021 - 11:54
Detailed Description
Implementation details:
The component is developed in python, requires scikit-learn library to build the model . However, a pretained model is also provided.
External links:
- Project description on Research Gate.
Trustworthy AI
N/A.
GDPR Requirements
N/A.