Paper
23 October 2006 Development of multi-functional remote sensing system for greenhouse production
Suming Chen, Hung-Chih Lu, Kuang-Wen Hsieh, Yu-I Huang, Chia-Tseng Chen, I-Chang Yang, Chin-Lun Chang, Guan-Hung Yeh
Author Affiliations +
Proceedings Volume 6381, Optics for Natural Resources, Agriculture, and Foods; 638103 (2006) https://doi.org/10.1117/12.686151
Event: Optics East 2006, 2006, Boston, Massachusetts, United States
Abstract
This study is aimed to develop a multi-functional remote sensing system based on spectral imaging and environmental sensing for seedling production in the greenhouses. The spectral images were grabbed with exposure time and signal gain controls through IEEE-1394 interface; and a color camera and a B/W camera with optical filter at 780 nm were used. A control program was developed to grab the good quality images using the automatic exposure algorithm with a developed software using Matlab and LabVIEW. To obtain necessary spectral information regarding tray locations and seedling growth status on greenhouse benches, a serial image processing procedures, including spatial calibration, image stitching, gray-level calibration and image segmentation were developed. The data of tray positions and growth status were transferred to the look up table (LUT) and delivered to the water management module through the DataSocket server and wireless network. Besides, the environmental sensing sub-system, including temperature, relative humidity, and lighting measurements, was also developed with the PCI-6023 interface to analyze the spatial distribution of these parameters in the greenhouse. The information of environmental status will provide a better management for seedling growth in greenhouses.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Suming Chen, Hung-Chih Lu, Kuang-Wen Hsieh, Yu-I Huang, Chia-Tseng Chen, I-Chang Yang, Chin-Lun Chang, and Guan-Hung Yeh "Development of multi-functional remote sensing system for greenhouse production", Proc. SPIE 6381, Optics for Natural Resources, Agriculture, and Foods, 638103 (23 October 2006); https://doi.org/10.1117/12.686151
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Remote sensing

Environmental sensing

Imaging systems

Calibration

Image segmentation

Algorithm development

Sensing systems

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