Article
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Comparing RGB-D Sensors for Close Range Outdoor Agricultural Phenotyping
Version 1
: Received: 28 October 2018 / Approved: 29 October 2018 / Online: 29 October 2018 (09:15:45 CET)
A peer-reviewed article of this Preprint also exists.
Vit, A.; Shani, G. Comparing RGB-D Sensors for Close Range Outdoor Agricultural Phenotyping. Sensors 2018, 18, 4413. Vit, A.; Shani, G. Comparing RGB-D Sensors for Close Range Outdoor Agricultural Phenotyping. Sensors 2018, 18, 4413.
Abstract
Phenotyping is the task of measuring plant attributes for analyzing the current state of the plant. In agriculture, phenotyping can be used to make decisions concerning the management of crops, such as the watering policy, or whether to spray for a certain pest. Currently, large scale phenotyping in fields is typically done using manual labor, which is a costly, low throughput process. Researchers often advocate the use of automated systems for phenotyping, relying on the use of sensors for making measurements. The recent rise of low cost, yet reasonably accurate, RGB-D sensors has opened the way for using these sensors in field phenotyping applications. In this paper, we investigate the applicability of 4 different RGB-D sensors for this task. We conduct an outdoor experiment, measuring plant attribute in various distances and light conditions. Our results show that modern RGB-D sensors, in particular, the Intel D435 sensor, provides a viable tool for close range phenotyping tasks in fields.
Keywords
RGB-D sensors; empirical analysis; sensors in agriculture; phenotyping; microsoft kinect; Intel D-435; Intel SR300; ORBBEC ASTRA S
Subject
Computer Science and Mathematics, Hardware and Architecture
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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