{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T19:47:59Z","timestamp":1780343279922,"version":"3.54.1"},"reference-count":33,"publisher":"World Scientific Pub Co Pte Ltd","issue":"11","funder":[{"name":"Research and practice of maker education based on the Second Classroom in vocational schools in Guangxi Minority areas","award":["2019ZJY082"],"award-info":[{"award-number":["2019ZJY082"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J CIRCUIT SYST COMP"],"published-print":{"date-parts":[[2024,7,30]]},"abstract":"<jats:p> The growing development of the agricultural e-commerce industry is promoting the Digital transformation of agricultural production and logistics. Aiming at the problem of labor shortage in apple picking, this paper proposes a performance control method for robot apple picking based on a nonlinear wide convolutional neural network (NLWCNN) and multi-objective cooperative distance transformation algorithm (MOCDTA). This method utilizes deep learning algorithms and visual sensing technology to enable robots to accurately recognize apples and perform autonomous picking operations based on their maturity and position. We have designed a machine learning-based algorithm that enables robots to accurately recognize and distinguish apples of different maturity levels\u00a0through training on a large amount of sample data. At the same time, we also combined\u00a0the motion control algorithm of the robot to enable efficient picking operations based on the position and maturity information of the apples. The experimental results indicate that the NLWCNN method can significantly improve the efficiency and accuracy of apple picking, ensure the safety and traceability of agricultural products, increase consumer trust, and promote agricultural product transactions. <\/jats:p>","DOI":"10.1142\/s0218126624501895","type":"journal-article","created":{"date-parts":[[2023,12,30]],"date-time":"2023-12-30T05:56:15Z","timestamp":1703915775000},"source":"Crossref","is-referenced-by-count":3,"title":["A Deep Vision Sensing-Based Smart Control Method for Apple-Picking Robots Under the Context of Agricultural E-Commerce"],"prefix":"10.1142","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-4716-3022","authenticated-orcid":false,"given":"Yang","family":"Qiu","sequence":"first","affiliation":[{"name":"Entrepreneurship Academy, Yiwu Industrial & Commercial College, Yiwu, Zhejiang 322000, P. R. 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