Stem localization of sweet-pepper plants using the support wire as a visual cue

被引:67
作者
Bac, C. W. [1 ,2 ]
Hemming, J. [1 ]
van Henten, E. J. [1 ,2 ]
机构
[1] Wageningen Univ & Res Ctr, Wageningen UR Greenhouse Hort, NL-6708 PB Wageningen, Netherlands
[2] Wageningen Univ & Res Ctr, Farm Technol Grp, NL-6708 PB Wageningen, Netherlands
基金
欧盟第七框架计划;
关键词
Stem localization; Small baseline stereo; Harvesting robots; Accuracy; Support wire; AUTONOMOUS ROBOT; STEREO; VISION; IMAGES; SYSTEM; RGB;
D O I
10.1016/j.compag.2014.04.011
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
A robot arm should avoid collisions with the plant stem when it approaches a candidate sweet-pepper for harvesting. This study therefore aims at stem localization, a topic so far only studied under controlled lighting conditions. Objectives were to develop an algorithm capable of stem localization, using detection of the support wire that is twisted around the stem; to quantitatively evaluate performance of wire detection and stem localization under varying lighting conditions; to determine depth accuracy of stereo-vision under lab and greenhouse conditions. A single colour camera was mounted on a pneumatic slide to record image pairs with a small baseline of 1 cm. Artificial lighting was developed to mitigate disturbances caused by natural lighting conditions. An algorithm consisting of five steps was developed and includes novel components such as adaptive thresholding, use of support wires as a visual cue, use of object-based and 3D features and use of minimum expected stem distance. Wire detection rates (true-positive/scaled false-positive) were more favourable under moderate irradiance (94/5%) than under strong irradiance (74/26%). Error of stem localization was measured, in the horizontal plane, by Euclidean distance. Error was smaller for interpolated segments (0.8 cm), where a support wire was detected, than for extrapolated segments (1.5 cm), where a support wire was not detected. Error increased under strong irradiance. Accuracy of the stereo-vision system (+/- 0.4 cm) met the requirements (+/- 1 cm) in the lab, but not in the greenhouse (+/- 4.5 cm) due to plant movement during recording. The algorithm is probably capable to construct a useful collision map for robotic harvesting, if the issue of inaccurate stereo-vision can be resolved by directions proposed for future work. This is the first study regarding stem localization under varying lighting conditions, and can be useful for future applications in crops that grow along a support wire. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:111 / 120
页数:10
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