Beyond the Hype: Ten Lessons from Co-Creating and Implementing Digital Innovation in a Rwandan Smallholder Banana Farming System

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The article explores how fourth agricultural revolution (Agriculture 4.0) envisions a smarter, more efficient, and socially responsible agricultural sector, enabled by digital tools that make farming more planned, predictive, and productive. However,

G4AW: Lessons for Digital soil health advisory in Africa

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This report outlines the outcomes and challenges of the G4AW program, which supported satellite-based services to improve soil fertility management in Africa. It examines the barriers to commercializing soil health advisory services, highlights the r

ZydiPlus

Innovation

Using Artificial Intelligence to provide warning and advisory services to farmers to help them get ready for their activities. The value chains in considerations are rainfed rice, maize and beans.

Shallow depth of field image dataset for image sharpness and fitting results of BPBD and other algorithms

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We provide two folders: (1)The shallow depth of field image data set folder consists of 27 folders from 1 to 27. In folder 1-27, each folder contains two test images and two word files. Img1 is the shallow depth of field image with the best focus

AGRI-EBV-Winter-Summer

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A new generation of computer vision, namely event-based or neuromorphic vision, provides a new paradigm for capturing visual data and the way such data is processed. Event-based vision is a state-of-art technology of robot vision. It is particularly

Multiview horses’ faces database

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Animal recognition is an active research topic in recent years. Horse’s recognition is an important task in the world and  in  order  to  promote  horse’s  recognition  research,  the  Tunisian  Research  Groups  in  Intelligent  Ma