Development of Multi-Functional Monitoring System for Greenhouse Production─Remote Inspection of Seedlings’ Growth and Measurements of Environmental Factors
Date Issued
2005
Date
2005
Author(s)
Lu, Hung-Chih
DOI
zh-TW
Abstract
本研究以光譜影像遙測技術為基礎，針對溫室自行開發出一套多功能監測系統，該系統所使用之彩色與黑白攝影機能夠結合近紅外光波段（780nm）濾鏡進行光譜影像之擷取，且能透過IEEE-1394介面控制攝影機之電子快門速度與增益值，再利用Matlab及LabVIEW軟體所自行撰寫之自動曝光演算法來獲得理想曝光量之光譜影像。
將所擷取到之光譜影像資料經由空間校正、影像縫合、灰階度校正之方法處理，獲得完整苗床縫合影像後，再經由苗床影像自動閾值背景分離之分析作業，以求得NDVI影像及苗株狀況，將此苗盤位置真值表透過無線網路經DataSocket傳輸至溫室可變率噴桿控制系統，以作為後續噴水模式之依據。
以往環控系統對於溫室內自動量測環境因子，皆屬於單點之測量，故無法得知溫室內之整體空間變異環境分佈，本研究則利用遙測系統巡走於溫室內，在進行擷取苗床光譜影像之同時，以DAQ卡擷取環境因子，包括溫、溼度及光量子通量，並將所擷取到之環境因子參數作整合分析，繪製成環境因子空間分佈等位線圖，以提供使用者管理植株生長狀況，以期發展出一套苗株自動化生產系統。
This study is aimed to develop a multi-functional monitoring system based on remote spectral imaging and environment sensing for seedling production in the greenhouse. The spectral images were grabbed with exposure time and signal gain controls through IEEE-1394 interface, and by a color camera and a monochrome camera with optical filter at 780 nm. The controlling program was developed to grab the good quality images using the automatic exposure algorithm with Matlab 6.5 and LabVIEW 7.1 software. To obtain necessary spectral information regarding tray locations and seedling growth on benches, a serial image processing procedures, including spatial calibration, image stitching, gray-level calibration and image segmentation were developed. The data of tray positions were transferred to the look up table (LUT) and delivered to the water management module through the datasocket server and wireless network. Besides, the environment sensing sub-system, including temperature, relative humidity, and photo-quantum 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. The further goal of the study is to provide a basis for developing an automatic seedling production system.
Subjects
遙測
光譜影像
自動曝光演算法
植被指數
環境因子
Remote Sensing
Spectral Images
Auto-Exposure Algorithm
Vegetation Indices
Environmental Parameters
SDGs
Type
thesis
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