AgriNAS: Neural Architecture Search with Adaptive Convolution and Spatial–Time Augmentation Method for Soybean Diseases

Soybean is a critical agricultural commodity, serving as a vital source of protein and vegetable oil, and contributing significantly to the economies of producing nations. However, soybean yields are frequently compromised by disease and pest infestations, which, if not identified early, can lead to...

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Principais autores:	Oluwatoyin Joy Omole, Renata Lopes Rosa, Muhammad Saadi, Demóstenes Zegarra Rodriguez
格式:	Artigo
語言:	Inglês
出版:	MDPI AG 2024-12-01
叢編:	AI
主題:	neural architecture search adaptive convolutional architecture data augmentation soybean disease and pest detection
在線閱讀:	https://www.mdpi.com/2673-2688/5/4/142
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