Identifying Working Trajectories of the Wheat Harvester In-Field Based on K-Means Algorithm
Identifying Working Trajectories of the Wheat Harvester In-Field Based on K-Means Algorithm
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Basel: MDPI AG
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English
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Basel: MDPI AG
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Identifying the in-field trajectories of harvests is important for the activity analysis of agricultural machinery. This paper presents a K-means-based trajectory identification method that can automatically detect the “turning”, “working”, and “abnormal working” trajectories for wheat harvester in-field operation scenarios. This method contains tw...
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Identifying Working Trajectories of the Wheat Harvester In-Field Based on K-Means Algorithm
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TN_cdi_doaj_primary_oai_doaj_org_article_1c72c96fcf2f4bb780ff823d67ed8293
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1c72c96fcf2f4bb780ff823d67ed8293
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ISSN
2077-0472
E-ISSN
2077-0472
DOI
10.3390/agriculture12111837
