Multi-crop plant counting and geolocation using a YOLO-Powered GUI System

Crop counting has traditionally relied on manual field assessments or complex machine learning algorithms, which often struggle to identify small objects or underestimate the total count of objects present in the field. This study proposes a multi-crop graphical user interface integrated with an obj...

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Bibliographic Details
Main Authors: Renato Herrig Furlanetto, Nathan Schawn Boyd, Ana Claudia Buzanini
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Smart Agricultural Technology
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Online Access:http://www.sciencedirect.com/science/article/pii/S2772375525002278
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