Explore the problems, methods, and outcomes behind Omdena's published AI work across industries and communities.
Search the collection or browse one concise page at a time. Each card opens the complete published case study.
Featured case studyOmdena Innovation Challenge · Agricultural Intelligence Welcome to TerraYield, a Multimodal dataset…

This project demonstrates how edge based AI in agriculture can replace chemical…

Every rooftop solar sale starts with an assessment. For this client, that…

Executive Summary AI models trained on community-powered weather balloon data achieved 82%…

Executive Summary Accurate crop yield forecasting is critical for strengthening food security…
AI carbon tracking refers to the use of machine learning and data…

This project shows how drone imagery and computer vision can reliably separate…

This study compares semantic and instance segmentation approaches for weed and crop…

This case study shows how YOLACTEdge enables real time, field ready weed…

This project uses AI and multispectral satellite imagery to detect and assess…

In this article, we explore how agricultural research institutes and Omdena collaborated…

Omdena and Agreed Earth built an AI model to estimate farm emissions…

Sub-Saharan Africa faces a critical energy deficit. More than 600 million people…