Guy Shani

Senior Academic

Comparing RGB-D sensors for close range outdoor agricultural phenotyping

Adar Vit, Guy Shani

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.

Publication language English
Journal Sensors
Volume 18
Issue number 12
Publication status Published - 12.12.2018
Article Number 4413

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
Access to Document
10.3390/s18124413
Other files and links
Link to publication in Scopus