Robotic detection of leaf angle and grasp point with low-cost sensorsDownload PDF

Published: 23 May 2023, Last Modified: 23 May 2023AIAFS 2022Readers: Everyone
Keywords: Neural network, Sensor Fusion, Leaf angle, Grasp point
TL;DR: A field robotic system equipped with low-cost sensors is utilized to automatically detect leaf angle and grasp point.
Abstract: Leaf angle is a significant architectural parameter of plant canopy due to its influence on solar light absorption and photosynthetic efficiency, and hence also on the plant growth and productivity. Traditional way for leaf angle measurement is manual, and researchers need to go to the field and use a protractor to collect leaf angle data. However, manual leaf measurement is labor intensive, not ergonomic, and often not consistent between different people. In this paper, TerraSentia, a field robotic system equipped with low-cost sensors is utilized to automatically detect leaf angle and grasp point. The proposed method can produce a consistent leaf rolling angle estimate quantitatively and qualitatively on multiple corn leaves, especially on leaves with multiple different angles.
0 Replies

Loading

OpenReview is a long-term project to advance science through improved peer review with legal nonprofit status. We gratefully acknowledge the support of the OpenReview Sponsors. © 2025 OpenReview