Comparing RGB-D sensors for close range outdoor agricultural phenotyping

Adar Vit, Guy Shani

Research output: Contribution to journalArticlepeer-review

53 Scopus citations

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 four 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.

Original languageEnglish
Article number4413
JournalSensors (Switzerland)
Volume18
Issue number12
DOIs
StatePublished - 12 Dec 2018

Keywords

  • Empirical analysis
  • INTEL D-435
  • INTEL SR300
  • Microsoft kinect
  • ORBBEC ASTRA S
  • Phenotyping
  • RGB-D sensors
  • Sensors in agriculture

ASJC Scopus subject areas

  • Analytical Chemistry
  • Information Systems
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Instrumentation
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Comparing RGB-D sensors for close range outdoor agricultural phenotyping'. Together they form a unique fingerprint.

Cite this