The Application of Image Recognition Technology in Modern Agriculture: Image Processing Methods for Crop Ripeness Assessment
DOI:
https://doi.org/10.5281/zenodo.8351345References:
6Keywords:
Agricultural Informatization, Image Recognition Technology, Crop Maturity Assessment, Agricultural Management, Image Processing MethodsAbstract
This paper discusses the significant application of image recognition technology in modern agriculture, with a focus on image processing methods for crop maturity assessment. The background of agricultural informatization and digital agriculture provides a broad scope for the application of this technology, enabling farmers and agricultural experts to manage crops more intelligently.
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Zhang Youpeng. Research on the Recognition Method of Enoki Mushroom Stick Maturity Based on Deep Learning and System Design [D]. Shandong Agricultural University, 2023.
Liu Hui, Li Zhaoxiong, Zhan Jie, et al. Research Progress on Machine Vision Technology in Crop Growth Monitoring. Fujian Agricultural Machinery, 2018(04): 20-26.
Xue Yuan. Research on Target Detection of Wheat Spike and Weed Classification Recognition [D]. Lanzhou University, 2022.
Li Qingsheng. Research on Crop Disease Detection Based on Image Recognition and Deep Learning [D]. Shandong University of Science and Technology, 2022.
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Luo Xi. Application of Cloud Computing Technology in Agricultural Image Processing Systems. Wireless Internet Technology, 2019, 16(20): 133-134.
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