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