Prof. Munehiro Tanaka Profile

Prof. Munehiro Tanaka

at Saga Univ

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Proceedings Article | 20 November 2024 Poster + Paper

Monitoring of plant leaf growth based on 3D point cloud data

Muneki Uchida, Hiroshi Okumura, Munehiro Tanaka, Osamu Fukuda, Nobuhiko Yamaguchi, Wen Liang Yeoh

Proceedings Volume 13191, 1319110 (2024) https://doi.org/10.1117/12.3031764

KEYWORDS: 3D modeling, Point clouds, Data modeling, RGB color model, Cameras, Error analysis, Data acquisition, Color, Crop monitoring, Atmospheric modeling

Read Abstract +

Leaf area in agricultural crops is a crucial indicator for understanding growth conditions and assessing photosynthetic efficiency. Traditional methods for measuring leaf area often involved destructive techniques, where leaves or entire plants were cut and manually measured. These methods not only reduced the yield of the destroyed crops but also required significant time and labor. In response to these challenges, this study focused on developing a method to monitor plant growth using RGBD cameras, specifically the RealSense L515 and iPhone 14 Pro, which can capture the three-dimensional structure of plants. The proposed method involves extracting plant portions from the acquired 3D point cloud data using color information characteristics and cluster classification. Subsequently, 3D models are created, and leaf area is estimated based on the surface area of these models. The experiments were conducted using artificial plants. The results showed that the method using the RealSense L515 sensor achieved an average absolute error rate as low as 6.6%, while the iPhone 14 Pro had an average absolute error rate of 10.8%. Although the RealSense L515 demonstrated better accuracy, the iPhone 14 Pro proved to be relatively usable even in outdoor environments.

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