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Zhenqi Cheng, Rui Fu
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On using artificial intelligence and the internet of things for crop disease detection: A contemporary survey
10.3390/agriculture12010009 · doi-reference
SeptoSympto: A precise image analysis of septoria tritici blotch disease symptoms using deep learning methods on scanned images
10.1186/s13007-024-01136-z · doi-reference
MLFA: Toward realistic test time adaptive object detection by multi-level feature alignment
10.1109/tip.2024.3473532 · doi-reference
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10.1016/j.compag.2024.109028 · doi-reference
A comprehensive survey on test-time adaptation under distribution shifts
10.1007/s11263-024-02181-w · doi-reference
PMJDM: A multi-task joint detection model for plant disease identification
10.3389/fpls.2025.1599671 · doi-reference
Robust crop disease detection using multi-domain data augmentation and isolated test-time adaptation
10.1016/j.eswa.2025.127324 · doi-reference
PDDD-pretrain: A series of commonly used pre-trained models support image-based plant disease diagnosis
10.34133/plantphenomics.0054 · doi-reference