A Detection Method for Crop Diseases and Pests Based on Improved YOLOv7

With the rapid advancement of science and technology, artificial intelligence (AI) and machine learning (ML) have been widely applied in agriculture. To tackle challenges in crop disease and pest identification-such as diverse species, subtle inter-class feature differences, and significant intra-cl...

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Veröffentlicht in:	IAENG international journal of computer science Jg. 52; H. 9; S. 3327
Hauptverfasser:	Kang, Jie, Chen, Xiaoying
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hong Kong International Association of Engineers 01.09.2025
Schlagworte:	Algorithms Artificial intelligence Crop growth Machine learning Object recognition Pests Plant diseases
ISSN:	1819-656X, 1819-9224
Online-Zugang:	Volltext
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