Automatic cassava disease recognition using object segmentation and progressive learning

Cassava is a vital crop for millions of farmers worldwide, but its cultivation is threatened by various destructive diseases. Current detection methods for cassava diseases are costly, time-consuming, and often limited to controlled environments, making them unsuitable for large-scale agricultural u...

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Bibliographic Details

Published in:	PeerJ Computer Science
Main Authors:	Chang Che, Nian Xue, Zhen Li, Yilin Zhao, Xin Huang
Format:	Article
Language:	English
Published:	PeerJ Inc. 2025-03-01
Subjects:	Cassava disease recognition Progressive learning Object segmentation Deep learning Computation efficiency
Online Access:	https://peerj.com/articles/cs-2721.pdf