Author:
Cui Mingdi,Lou Yunyi,Ge Yilin,Wang Keqi
Subject
Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry
Reference38 articles.
1. Physicochemical properties, bioaccessibility and antioxidant activity of the polyphenols from pine cones of Pinus koraiensis;Wang;Int. J. Biol. Macromol.,2019
2. Menaga, A., Vasantha, S., 2022. Smart sustainable agriculture using machine learning and AI: a review. Ambient Communications and Computer Systems, 447-458, Chapter: Lecture Notes in Networks and Systems, Springer. doi: 10.1007/978-981-16-7952-0_42.
3. Computer vision and machine learning applied in the mushroom industry: a critical review;Yin;Comp. Electron. Agric.,2022
4. Machine learning in agriculture domain: a state-of-art survey;Meshram;Artif. Intellig. Life Sci.,2021
5. Hannan, M.W., Burks, T.F., Bulanon, D.M., 2009. A machine vision algorithm combining adaptive segmentation and shape analysis for orange fruit detection. Agric. Eng. Int.: CIGR e-journal.
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