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.

Status: Finished
Project Period: July 2022 – October 2022
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.