Development of Multi-Spectral Remote Imaging System to Measure Nitrogen Content in Rice

碩士 === 國立臺灣大學 === 生物產業機電工程學研究所 === 91 === This study is aimed to develop a multi-spectral remote imaging system to measure the nitrogen content in rice. In the integration of the hardware, the multi-spectral imaging system, the position system and the multi-function field-carrier were successfully i...

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Bibliographic Details
Main Authors: Chun-Chi Huang, 黃竣吉
Other Authors: Suming Chen
Format: Others
Language:zh-TW
Published: 2003
Online Access:http://ndltd.ncl.edu.tw/handle/87775445979126045345
Description
Summary:碩士 === 國立臺灣大學 === 生物產業機電工程學研究所 === 91 === This study is aimed to develop a multi-spectral remote imaging system to measure the nitrogen content in rice. In the integration of the hardware, the multi-spectral imaging system, the position system and the multi-function field-carrier were successfully integrated to develop a ground-based remote sensing system. As for the software, Microsoft Visual C++ 6.0, Matlab 6.0 and ArcView 3.1 were used to develop a program. The program was implemented with functions including acquisition of the multi-spectral images, collection of the position signals, transformation of geographic information, processing of multi-spectral images, analysis of model regressions and expression of contours. The multi-spectral imaging model is developed by using the multi-spectral remote imaging system as a measurement platform. Regarding rice of Tainung 67 variety (1st crop, 2003), the model used three band wavelengths (555, 680 and 780 nm) to predict the nitrogen content in rice. The model gave the results as rc = 0.7667, SEC = 0.1958, rp = 0.7085 and SEP = 0.2252. As to rice of Taiken 14(1st crop, 2003), the model also using wavelengths at 555, 680 and 780 nm showed the results of rc = 0.8032, SEC = 0.1441, rp = 0.7285 and SEP = 0.1734. The study used the RTK-GPS (Real-Time Kinematic GPS) as position system, with an accuracy of 2.52 and 2.36 cm in X- and Y-direction respectively. In the analysis of the influence of carrier speeds on the multi-spectral image quality, the result indicated that a speed of 0.77 km/hr or slower is appropriate to meet the need for the study. The study developed a multi-spectral remote imaging system to measure nitrogen content in rice, which is capable to obtain the multi-spectral images in non-contact and non-destruction way, and the nitrogen content distribution can be analyzed in rice fields by the using the self-developed program. The system will provide a basis of future application to site-specific management of fertilizer, and to the precision agriculture.