EFDet: An efficient detection method for cucumber disease under natural complex environments

Author:

Liu Chen,Zhu Huaji,Guo Wang,Han Xiao,Chen Cheng,Wu Huarui

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference47 articles.

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3. Cap, H.Q., Suwa, K., Fujita, E., Kagiwada, S., Uga, H., & Iyatomi, H. (2018). A deep learning approach for on-site plant leaf detection. In 2018 IEEE 14th International Colloquium on Signal Processing & Its Applications (CSPA) (pp. 118–122). IEEE.

4. Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., & Fei-Fei, L. (2009). Imagenet: A large-scale hierarchical image database. In 2009 IEEE conference on computer vision and pattern recognition (pp. 248–255). Ieee.

5. Applied approach for controlling powdery mildew disease of cucumber under plastic houses;El-Naggar;Pakistan Journal of Agriculture: Agricultural Engineering Veterinary Sciences (Pakistan),2012

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