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Plant Methods|September 6, 2022
Attention-optimized DeepLab V3 + for automatic estimation of cucumber disease severityKaiyu Li, Lingxian Zhang, Bo Li, et al.
Journal of the Science of Food and Agriculture|June 16, 2023
A tomato disease identification method based on leaf image automatic labeling algorithm and improved YOLOv5 modelJiaping Jing, Shufei Li, Chen Qiao, et al.
Horticulture Research|August 22, 2020
Growth monitoring of greenhouse lettuce based on a convolutional neural networkLingxian Zhang, Zanyu Xu, Dan Xu, et al.
Plant Phenomics (Washington, D.C.)|March 17, 2023
The Gray Mold Spore Detection of Cucumber Based on Microscopic Image and Deep LearningKaiyu Li, Xinyi Zhu, Chen Qiao, et al.
Risk Analysis : an Official Publication of the Society for Risk Analysis|October 27, 2021
Modeling of Farmers' Vegetable Safety Production Based on Identification of Key Risk Factors From Beijing, ChinaZhengqing Yin, Bo Li, Dongyue Gu, et al.
Frontiers in Psychology|December 19, 2022
Research on the state of blended learning among college students - A mixed-method approachChao Deng, Jiao Peng, ShuFei Li
Biogerontology|December 20, 2025
Association of plasma metabolites with epigenetic age acceleration: a two-sample Mendelian randomization studyHongyue Chen, Fengdan Wang, Yuangang Guo, et al.
Environmental Science and Pollution Research International|April 12, 2023
Estimating daily minimum grass temperature to quantify frost damage to winter wheat during stem elongation in the central area of Huang-Huai plain in ChinaYongfeng Wu, Zhihong Gong, Lin Ji, et al.
Neural Networks : the Official Journal of the International Neural Network Society|May 13, 2025
Knowledge-guided adaptive spatial-temporal graph contrastive learning framework: Regional crop diseases prediction based on electronic medical recordsChang Xu, Yiding Zhang, Lei Zhao, et al.
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