Sugar Beet Damage Detection during Harvesting Using Different Convolutional Neural Network Models
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References listed on IDEAS
- Chenglong Wang & Zhifeng Xiao, 2021. "Potato Surface Defect Detection Based on Deep Transfer Learning," Agriculture, MDPI, vol. 11(9), pages 1-18, September.
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Cited by:
- Weidong Zhu & Jun Sun & Simin Wang & Jifeng Shen & Kaifeng Yang & Xin Zhou, 2022. "Identifying Field Crop Diseases Using Transformer-Embedded Convolutional Neural Network," Agriculture, MDPI, vol. 12(8), pages 1-19, July.
- Yue Gu & Shucai Wang & Yu Yan & Shijie Tang & Shida Zhao, 2022. "Identification and Analysis of Emergency Behavior of Cage-Reared Laying Ducks Based on YoloV5," Agriculture, MDPI, vol. 12(4), pages 1-16, March.
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Keywords
convolutional neural network; damage; deep learning; harvester; sugar beet;All these keywords.
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