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Estimating the size of plants by using two parallel views

Estimating the size of plants by using two parallel views AbstractThis paper presents a method of estimating the size of plants by using two parallel views of the scene, taken by a common digital camera. The approach relays on the principle of similar triangles with the following constraints: the resolution of the camera is known; the object is always in parallel to the camera sensor and the intermediate distance between the two concessive images is available. The approach was first calibrated and tested using one artificial object in a controlled environment. After that real examples were taken from agriculture, where we measured the distance and the size of a vine plant, apple and pear tree. By comparing the calculated values to measured values, we concluded that the average absolute error in distance was 0.11 m or around 3.7 %, and the absolute error in high was 0.09 m or 4.6 %. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Agricultura de Gruyter

Estimating the size of plants by using two parallel views

Agricultura , Volume 14 (1-2): 7 – Dec 20, 2017

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References (4)

Publisher
de Gruyter
Copyright
© 2018 Barbara Videc, published by Sciendo
ISSN
1581-5439
eISSN
1581-5439
DOI
10.1515/agricultura-2017-0012
Publisher site
See Article on Publisher Site

Abstract

AbstractThis paper presents a method of estimating the size of plants by using two parallel views of the scene, taken by a common digital camera. The approach relays on the principle of similar triangles with the following constraints: the resolution of the camera is known; the object is always in parallel to the camera sensor and the intermediate distance between the two concessive images is available. The approach was first calibrated and tested using one artificial object in a controlled environment. After that real examples were taken from agriculture, where we measured the distance and the size of a vine plant, apple and pear tree. By comparing the calculated values to measured values, we concluded that the average absolute error in distance was 0.11 m or around 3.7 %, and the absolute error in high was 0.09 m or 4.6 %.

Journal

Agriculturade Gruyter

Published: Dec 20, 2017

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