Crop Prediction using Machine Learning
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Crop Yield Prediction Using Deep Neural Networks
Author: Margaux Masson-Forsythe As a part of the COVID-19: Data for a resilient Africa...
Building a Crop Yield Prediction App Using Satellite Imagery and Jupyter
Omdena´s Crop Yield Prediction AI Challenge in Africa In this Omdena AI Challenge with the...
The Ultimate Guide on Using AI & Open Source Satellite Imagery to Address Global Problems
Omdena successfully combines AI and ML methodologies with open source, low resolution satellite...
Crop Disease Prediction for Improving Food Security
The Problem Crop diseases cannot be accurately predicted by merely analyzing individual disease...
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Managing Agricultural Risk in Ghana Using Machine Learning
This Omdena Local Chapter Challenge runs for 5 weeks and is a unique experience to try and grow...
Intervening Wheat Leaf Disease Using Computer Vision
This Omdena Local Chapter Challenge runs for 7 weeks and is a unique experience to try and grow...
Improving Crop Yield and Reducing Food Loss in Tanzania Through Machine Learning
This Omdena Local Chapter Challenge runs for 8 weeks and is a unique experience to try and grow...
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