Weed and Crop Detection by Combining Crop Row Detection and K-means Clustering in Weed Infested Agricultural Fields

• Published in: 2022 IEEE/SICE International Symposium on System Integration (SII) pp. 985 - 990
• Main Authors: Ota, Kumpei, Louhi Kasahara, Jun Younes, Yamashita, Atsushi, Asama, Hajime
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.01.2022
• Subjects: Automation; Crops; Spraying; System integration; Training data

Crop and weed detection is an essential technique for the automation of spot spraying and mechanical weeding. Previous studies developed crop and weed detection methods by using crop rows. However, those methods cannot perform with high accuracy when weeds are heavily present. The reason is that the...