https://scholars.lib.ntu.edu.tw/handle/123456789/638561
標題: | NONDESTRUCTIVE QUANTITATIVE ANALYSIS OF WATER POTENTIAL OF TOMATO LEAVES USING ONLINE HYPERSPECTRAL IMAGING SYSTEM | 作者: | Tung, Kuo Chih PING-LANG YEN Tsai, Chao Yin Ong, Pauline Lin, Jer Wei Chang, Yung Huei SUMING CHEN |
關鍵字: | Hyperspectral imaging system | Machine learning | Tomato | Water potential | 公開日期: | 1-一月-2022 | 卷: | 38 | 期: | 2 | 來源出版物: | Applied Engineering in Agriculture | 摘要: | Tomatoes have different water requirements in each growing period. Excessive water use or insufficient water supply will affect the growth and yield of tomato plants. Therefore, precise irrigation control is necessary during cultivation to increase crop productivity. Traditionally, the soil moisture content or leaf water potential has been used as an indicator of plant water status. These methods, however, have limited accuracy and are time-consuming, making it difficult to be put into practice in tomato production. This study developed an online hyperspectral imaging system to measure the leaf water potential of tomato nondestructively. Linear Discriminant Analysis was utilized to automatically and quickly extract the leaf images, with the recognition accuracy of 94.68% was achieved. The mathematical processing of Standard Normal Variate scattering correction was used to remove the spectral variations caused by the defocused leave images. The developed leaf water potential prediction model based on the spectral image information attained using the developed system achieved the standard error of calibration of 0.201, coefficient of determination in calibration set of 0.814 and standard error of crossvalidation of 0.230, and one minus the variance ratio of 0.755. The obtained performance indicated the feasibility of applying the developed online hyperspectral imaging system as a real-time non-destructive measurement technique for the leaf water potential of tomato plants. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/638561 https://www.scopus.com/record/display.uri?eid=2-s2.0-85130802120&origin=resultslist |
ISSN: | 08838542 | DOI: | 10.13031/aea.14800 |
顯示於: | 生物機電工程學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。