期刊
IFAC PAPERSONLINE
卷 51, 期 17, 页码 424-430出版社
ELSEVIER
DOI: 10.1016/j.ifacol.2018.08.184
关键词
Infrared thermal imaging; image processing; Machine recognition; Diagnosis; Plants; disease
资金
- Natural Science Youth Fundation of Jiangsu Province [BK20150493, BK20161346]
- China Postdoctoral Science Foundation [2016M601743]
- China national key research and development project fundation [2017YFD0700504]
- Jiangsu University [14JDG151, 14KJA210001]
- Jiangsu province key research and development project [BE2016337]
Visual diagnosis of plant disease following a visually evident epidemic results in untimely and excessive application of pesticide. Conventional nondestructive testing methods are difficult for early recognition before the onset of symptoms. In this study, tomato mosaic disease and wheat leaf rust were taken as examples. Infrared thermal imaging technology was used to continuously detect the temperature information of the two crops during the incubation period following the introduction of inoculum. Diseases of tomato and wheat were induced by rubbing inoculation and spray inoculation, respectively. Maximum temperature difference (MTD) was calculated to characterize the continuous temperature change during the incubation period. The results showed that the MTD of tomato mosaic disease ranged from 0.2 degrees C similar to 1.7 degrees C, and that of wheat leaf rust 0.4 degrees C similar to 2 degrees C. As the disease progresses, the MTD of both plants showed an increasing trend while the average temperature decreased. The time to observe the symptoms earlier than the naked eye for tomato mosaic and wheat leaf rust is 5d and 7d respectively. Studies showed that it is feasible to realize the early determination of disease through the combination of infrared thermal imaging and MTD calculation. It provides the theoretical basis and method basis for the early and accurate application of spraying. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
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