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Peer-reviewedCC BYSensors (Basel, Switzerland)

IFMA-Net: Interactive Feature Modulated Attention Network for Accurate Identification of Cotton Pests and Diseases from Field Images

  • Lili Song1
  • Zhenxue Chen1
  • Chengyun Liu1
  • Yixin Guo1
  • Dongke Wang1
  1. 1School of Control Science and Engineering, Shandong University, Jinan 250061, China
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Cite

BibTeXRIS
BibTeX
@article{song2026ifmanet,
  title = {{IFMA-Net: Interactive Feature Modulated Attention Network for Accurate Identification of Cotton Pests and Diseases from Field Images}},
  author = {Lili Song and Zhenxue Chen and Chengyun Liu and Yixin Guo and Dongke Wang},
  journal = {Sensors (Basel, Switzerland)},
  year = {2026},
  month = sep,
  url = {https://europepmc.org/article/PMC/PMC13667185},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - IFMA-Net: Interactive Feature Modulated Attention Network for Accurate Identification of Cotton Pests and Diseases from Field Images
AU  - Lili Song
AU  - Zhenxue Chen
AU  - Chengyun Liu
AU  - Yixin Guo
AU  - Dongke Wang
PY  - 2026
DA  - 2026/09/23
JO  - Sensors (Basel, Switzerland)
UR  - https://europepmc.org/article/PMC/PMC13667185
SN  - 1424-8220
ER  -