The design of composite monitoring scheme for multilevel information in crop early diseases

Yan Zhang; Qinglong Meng; Jing Shang

doi:10.1117/12.2306569

20 February 2018 The design of composite monitoring scheme for multilevel information in crop early diseases

Yan Zhang, Qinglong Meng, Jing Shang

Proceedings Volume 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application; 106970H (2018) https://doi.org/10.1117/12.2306569
Event: Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 2017, Nanjing, China

Abstract

It is difficult to monitor and predict the crops early diseases in that the crop disease monitoring is usually monitored by visible light images and the availabilities in early warning are poor at present. The features of common nondestructive testing technology applied to the crop diseases were analyzed in this paper. Based on the changeable characteristics of the virus from the incubation period to the onset period of crop activities, the multilevel composite information monitoring scheme were designed by applying infrared thermal imaging, visible near infrared hyperspectral imaging, micro-imaging technology to the monitoring of multilevel information of crop disease infection comprehensively. The early warning process and key monitoring parameters of compound monitoring scheme are given by taking the temperature, color, structure and texture of crops as the key monitoring characteristics of disease. With overcoming the deficiency that the conventional monitoring scheme is only suitable for the observation of diseases with naked eyes, the monitoring and early warning of the incubation and early onset of the infection crops can be realized by the composite monitoring program as mentioned in this paper.

Citation Download Citation

Yan Zhang, Qinglong Meng, and Jing Shang "The design of composite monitoring scheme for multilevel information in crop early diseases", Proc. SPIE 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 106970H (20 February 2018); https://doi.org/10.1117/12.2306569

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