Artificial Intelligence in the Identification of Germinated Soybean Seeds
This study resulted from the demand for seeds with physiological qualities and studies in germination tests applied for seed improvement aimed at productive and homogeneous harvests. The objective of this study was to improve the classification of seeds in germination tests by introducing YOLO as a...
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Main Authors: | Hiago H. R. Zanetoni, Lucas G. Araujo, Reynaldo P. Almeida, Carlos E. A. Cabral |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-06-01
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Series: | AgriEngineering |
Subjects: | |
Online Access: | https://www.mdpi.com/2624-7402/7/6/169 |
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