Comparing RGB-D sensors for close range outdoor agricultural phenotyping

Adar Vit, Guy Shani

Research output: Contribution to journalArticlepeer-review

81 Scopus citations


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)
Issue number12
StatePublished - 12 Dec 2018


  • Empirical analysis
  • INTEL D-435
  • INTEL SR300
  • Microsoft kinect
  • 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


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