Building an Soil Quality Evaluation System using Machine Learning and Computer Vision
Healthy soil is hard to assess at scale. We combine machine learning and computer vision to evaluate soil quality from images, supporting smarter agricultural decisions.
Open SourceModeling Open Data
Status
Finished
Project Period
July 2022 – October 2022
Local Chapter
Munich
Partner
Anonymous Organization
A project with an anoymous organization.
In this project, a CorrelAid team is building a Soil Quality Evaluation System using Machine Learning and Computer Vision. riculture practices.