Efficient Data Augmentation Methods for Crop Disease Recognition in Sustainable Environmental Systems

Crop diseases significantly threaten agricultural productivity, leading to unstable food supply and economic losses. The current approaches to automated crop disease recognition face challenges such as limited datasets, restricted coverage of disease types, and inefficient feature extraction, which...

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Bibliographic Details
Main Authors: Saebom Lee, Sokjoon Lee
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Big Data and Cognitive Computing
Subjects:
Online Access:https://www.mdpi.com/2504-2289/9/1/8
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