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