Crop Prediction using Machine Learning
We are leading in developing innovative data, IoT, and AI solutions for partners across crop prediction domains from around the globe.
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Expertise. Dive into dozens of case studies
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
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
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
Crop Disease Prediction for Improving Food Security
The Problem Crop diseases cannot be accurately predicted by merely analyzing individual disease...
Our AgTech partners. Driving impact together.
Brain Pool Tech
Blue Planet Ecosystems
AgroData
Global Partnership for Sustainable Development Data
Bôndy
Faromatics
Nitrolytics
Drone Ag
WFP
Origin Chain Networks
Weedbot
Zowasel
Digital Gaia
Skymaps
Latitudo 40
OKO
Azolla
Agreed Earth
Kenya Red Cross Society
Farm-Hand
Scaling your Machine Learning team 20x overnight.
Our projects. Tackling complex challenges with change-making companies.
Managing Agricultural Risk in Ghana Using Machine Learning
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
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
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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Partner success stories. Drive growth, scale, and impact
