{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T06:20:33Z","timestamp":1758349233809,"version":"3.44.0"},"reference-count":29,"publisher":"World Scientific Pub Co Pte Ltd","issue":"13","funder":[{"name":"the Provincial Natural Science Research Project of Anhui University","award":["2024AH052000"],"award-info":[{"award-number":["2024AH052000"]}]},{"name":"the Provincial Natural Science Research Project of Anhui University","award":["2024AH051990"],"award-info":[{"award-number":["2024AH051990"]}]},{"DOI":"10.13039\/501100005891","name":"State Administration of Traditional Chinese Medicine of the People\u2019s Republic of China","doi-asserted-by":"publisher","award":["TCMADM-2024-15"],"award-info":[{"award-number":["TCMADM-2024-15"]}],"id":[{"id":"10.13039\/501100005891","id-type":"DOI","asserted-by":"publisher"}]},{"name":"The High-Level Talents Research Startup Fund of West Anhui University","award":["WGKQ2021057"],"award-info":[{"award-number":["WGKQ2021057"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2025,10]]},"abstract":"<jats:p> The key stage of the intelligent cleaning control strategy for rice\u2013wheat combine harvesters is the initial setting of cleaning operation parameters. There is a lack of research on intelligent control methods that reveal the correlation between rice and wheat attributes such as variety, moisture content, and grass to grain ratio, and the initial values of cleaning device operating parameters, as well as the correlation between cleaning loss rate and cleaning impurity rate. This paper constructs an optimization model for the initial operation parameters of the cleaning, and based on the dynamic monitoring and control system of the cleaning\u2019s operation quality and parameters, intelligently regulates the cleaning of the rice\u2013wheat combine harvester. Field experiments and analysis demonstrated that the intelligent control system, guided by the initial parameter setting model, successfully stabilized the cleaning quality metrics (e.g. impurity rate and loss rate) of the rice\u2013wheat combine harvester, thereby validating the effectiveness of the optimized cleaning control strategy based on the perceptual neural vision algorithm. <\/jats:p>","DOI":"10.1142\/s0218001425590128","type":"journal-article","created":{"date-parts":[[2025,6,13]],"date-time":"2025-06-13T00:11:24Z","timestamp":1749773484000},"source":"Crossref","is-referenced-by-count":0,"title":["Optimization Method of Intelligent Cleaning Control Strategy for Cleaning of Rice\u2013Wheat Combine Harvester"],"prefix":"10.1142","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-5866-099X","authenticated-orcid":false,"given":"Zusheng","family":"Li","sequence":"first","affiliation":[{"name":"School of Mathematics and Computer Science, Nanchang University, Nanchang 330000, P. 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