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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Vydané v:	IAENG international journal of computer science Ročník 52; číslo 9; s. 3327
Hlavní autori:	Kang, Jie, Chen, Xiaoying
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hong Kong International Association of Engineers 01.09.2025
Predmet:	Algorithms Artificial intelligence Crop growth Machine learning Object recognition Pests Plant diseases
ISSN:	1819-656X, 1819-9224
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