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30 March 2004 Detecting citrus in a tree canopy using infrared thermal imaging
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Proceedings Volume 5271, Monitoring Food Safety, Agriculture, and Plant Health; (2004) https://doi.org/10.1117/12.516018
Event: Optical Technologies for Industrial, Environmental, and Biological Sensing, 2003, Providence, RI, United States
Abstract
To identify fruits on the tree and determine their locations are the key to harvest fruits by robots. The main features and applications of infrared thermal imaging were reviewed, and main methods to locate fruits on trees were compared. As the low identification rate of common machine vision system, a new method to identify the citrus in a tree canopy by means of infrared thermal imaging was put forward. About 45 infrared thermal images of citrus on trees were acquired from the citrus orchard. It was found that the different thermal distribution among citrus, leaves and branches was about 1°C and these differences clearly appeared in the gray-level image, which could be easily used to segment the citrus from other parts in the image by using binary image at T=190. A multilayer-masks edge operator was used to extract edge of the image. The results indicated that it was possible to identify citrus on trees using infrared thermal imaging, and it was much easier than the methods presently used.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Huirong Xu and Yibin Ying "Detecting citrus in a tree canopy using infrared thermal imaging", Proc. SPIE 5271, Monitoring Food Safety, Agriculture, and Plant Health, (30 March 2004); https://doi.org/10.1117/12.516018
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