A two-stage feature aggregation network for multi-category soybean leaf disease identification
Accurate identification of soybean leaf disease is of utmost importance for its cultivation and fine management, as it is a critical factor contributing to the decreased quality and yield of soybean. Nevertheless, several existing studies on the identification of soybean leaf disease encounter the c...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-09-01
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Series: | Journal of King Saud University: Computer and Information Sciences |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157823002239 |