Extraction of Perilla frutescens area in farmland using camera on a self-propelled robot and examine of evaluation method

Hiroki Fuwa; Kei Sawai; Takumi Tamamoto; Chiaki Kojima; Yuki Okura; Takayuki Nakata

doi:10.1117/12.2626096

30 April 2022 Extraction of Perilla frutescens area in farmland using camera on a self-propelled robot and examine of evaluation method

Hiroki Fuwa, Kei Sawai, Takumi Tamamoto, Chiaki Kojima, Yuki Okura, Takayuki Nakata

Author Affiliations +

Proceedings Volume 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022; 1217711 (2022) https://doi.org/10.1117/12.2626096
Event: International Workshop on Advanced Imaging Technology 2022 (IWAIT 2022), 2022, Hong Kong, China

Abstract

Population ageing and shortage of laborers are serious problems in Japanese agriculture. Therefore, the government has been promoting smart agriculture. As part of the smart agriculture project, Toyama City is developing a weeding robot to establish an automated weeding system for perilla fields. In this project, authors are in charge of extracting perilla areas from input images using Deep Learning, based on images sent from cameras in real time. The learner is based on YOLOv2 and train using images taken from above in an actual field. On the premise that weeding robot avoid cutting off the perilla, we execute subjective evaluation and evaluation using the distance of the output values from the center point. As a result, we were able to roughly extract the perilla area, but there were some outputs that were not suitable for weeding system. In the future, we will adjust the parameters of the learner and study the threshold value to avoid wrong harvesting.

Citation Download Citation

Hiroki Fuwa, Kei Sawai, Takumi Tamamoto, Chiaki Kojima, Yuki Okura, and Takayuki Nakata "Extraction of Perilla frutescens area in farmland using camera on a self-propelled robot and examine of evaluation method", Proc. SPIE 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022, 1217711 (30 April 2022); https://doi.org/10.1117/12.2626096

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