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A Deep Learning-Based Object Detection Scheme by Improving YOLOv5 for Sprouted Potatoes Datasets.

, , , , и . IEEE Access, (2022)

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Hua Fan

Fan Zhang

Fan Dai

Min Fan

Xiaohua Fan

 

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A Deep Learning-Based Object Detection Scheme by Improving YOLOv5 for Sprouted Potatoes Datasets., , , , и . IEEE Access, (2022)PPLC-Net:Neural network-based plant disease identification model supported by weather data augmentation and multi-level attention mechanism., , , и . J. King Saud Univ. Comput. Inf. Sci., 35 (5): 101555 (мая 2023)Detection of Overlapped Apples in Orchard Scene Using Improved K-means and Distance Least Square., , , , , , , и . CCTA (1), том 545 из IFIP Advances in Information and Communication Technology, стр. 269-284. Springer, (2017)Detection of Young Green Apples in Orchard Environment Using Adaptive Ratio Chromatic Aberration and HOG-SVM., , , , , , , и . CCTA (1), том 545 из IFIP Advances in Information and Communication Technology, стр. 253-268. Springer, (2017)Research on Scientific Data Management in Big Data Era., , и . CSAE, стр. 32:1-32:6. ACM, (2020)Research on the "Three Networks in One" Orchard Production Information Service System., , , и . CCTA (1), том 392 из IFIP Advances in Information and Communication Technology, стр. 1-10. Springer, (2012)Cloud-Based Video Monitoring System Applied in Control of Diseases and Pests in Orchards., , , , , и . CCTA (1), том 478 из IFIP Advances in Information and Communication Technology, стр. 275-284. (2015)ITF-WPI: Image and text based cross-modal feature fusion model for wolfberry pest recognition., , и . Comput. Electron. Agric., (сентября 2023)DFN-PSAN: Multi-level deep information feature fusion extraction network for interpretable plant disease classification., , , , и . Comput. Electron. Agric., (января 2024)