Comparing RGB-D Sensors for Close Range Outdoor Agricultural Phenotyping

Sensors (Basel). 2018 Dec 13;18(12):4413. doi: 10.3390/s18124413.

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.

Keywords: Intel d-435; Intel sr300; Microsoft Kinect; Orbbec astra s; RGB-D sensors; empirical analysis; phenotyping; sensors in agriculture.

MeSH terms

  • Agriculture / methods*
  • Algorithms
  • Crops, Agricultural*
  • Phenotype