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Sustainable Agri-Finance: Leveraging Synthetic Data & Scientific Models to...
Authors: Hajarah Nantege, Souvik Roy, Tiago Machado, Takashi Nishikawa Introduction The global imperative to address climate change and promote sustainable development has placed financial...
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Retail Customer Journey Analysis Using Edge Computer Vision on CCTV Cameras
Introduction The main objective of this project is: To create a people counting system that leverages existing CCTV cameras installed on the retail floor to provide customer journey analysis to store...
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Monitoring Reforestation Success using Machine Learning
Why we need reforestation The world is facing a climate crisis. The global temperature is rising, the ice caps are melting and the oceans are warming up. The Earth’s natural resources are being...
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Deploying a Real-Time Computer Vision Model in Production: Pathology Detection
In this article, we’ll cover how to build a real-time computer vision model for production through our real-world case studies: image classification, and detecting pathologies. Authors: Aruna Sri...
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Enhancing Drone Imagery with Super-Resolution Using Deep Learning
The aim of this tutorial is to walk you through the general application of super-resolution using deep learning to images that can be adopted to solve remote sensing, precision farming problems, or...
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Optimising Water Consumption and Predicting Plant Health using Multispectral...
Source: MooseJaw Today In 2016, The United Nations declared 2020 as the International Year of Plant Health (IYPH). Amongst a plethora of social issues, the UN decided to highlight plant health as one...
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Data-Centric AI for a Sustainable Water Irrigation System
Introduction The effects of a changing climate are visible: droughts, reduced harvests, destruction of critical infrastructure and displacement of communities. Situations like these are forcing...
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Comparing Semantic and Instance Segmentation for Weed and Crop Detection
Authors: Neha Gupta, Priya KS, Yangyang Cai, and Kathryn Loewen Introduction Omdena collaborators worked with SkyMaps Agrimatics to explore various Machine Learning (ML) models and computer vision...
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