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For: Hao X, Jia J, Mateen Khattak A, Zhang L, Guo X, Gao W, Wang M. Growing period classification of Gynura bicolor DC using GL-CNN. Computers and Electronics in Agriculture 2020;174:105497. [DOI: 10.1016/j.compag.2020.105497] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]
Number Citing Articles
1 Kamal IM, Bae H. Cooperative auto-classifier networks for boosting discriminant capacity. Pattern Recognition Letters 2022;160:82-9. [DOI: 10.1016/j.patrec.2022.06.010] [Reference Citation Analysis]
2 Yang X, Gao S, Sun Q, Gu X, Chen T, Zhou J, Pan Y. Classification of Maize Lodging Extents Using Deep Learning Algorithms by UAV-Based RGB and Multispectral Images. Agriculture 2022;12:970. [DOI: 10.3390/agriculture12070970] [Reference Citation Analysis]
3 Qiang Z, Shi J, Shi F. Phenotype Tracking of Leafy Greens Based on Weakly Supervised Instance Segmentation and Data Association. Agronomy 2022;12:1567. [DOI: 10.3390/agronomy12071567] [Reference Citation Analysis]
4 Zhang P, Liu X, Yuan J, Liu C. YOLO5-spear: A robust and real-time spear tips locator by improving image augmentation and lightweight network for selective harvesting robot of white asparagus. Biosystems Engineering 2022;218:43-61. [DOI: 10.1016/j.biosystemseng.2022.04.006] [Reference Citation Analysis]
5 Fu Q, Zhang X, Zhao F, Ruan R, Qian L, Li C. Deep Feature Extraction for Cymbidium Species Classification Using Global–Local CNN. Horticulturae 2022;8:470. [DOI: 10.3390/horticulturae8060470] [Reference Citation Analysis]
6 Yao J, Wang Z, de Oliveira RF, Wang Z, Huang L. A deep learning method for the long-term prediction of plant electrical signals under salt stress to identify salt tolerance. Computers and Electronics in Agriculture 2021;190:106435. [DOI: 10.1016/j.compag.2021.106435] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]