Research on Automatic Alignment for Corn Harvesting Based on Euclidean Clustering and K-Means Clustering

Research on Automatic Alignment for Corn Harvesting Based on Euclidean Clustering and K-Means Clustering

Aiming to meet the growing need for automated harvesting, an automatic alignment method based on Euclidean clustering and K-means clustering is proposed to address issues of driver fatigue and inaccurate driving in manually operated corn harvesters. Initially, the corn field environment is scanned u...

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Bibliographic Details
Main Authors: Bin Zhang, Hao Xu, Kunpeng Tian, Jicheng Huang, Fanting Kong, Senlin Mu, Teng Wu, Zhongqiu Mu, Xingsong Wang, Deqiang Zhou
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Agriculture
Subjects:
corn harvesting
automatic alignment
K-means clustering
Online Access:https://www.mdpi.com/2077-0472/14/11/2071
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