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2019 | OriginalPaper | Chapter

Real-Time Monitoring Technology of Potato Pests and Diseases in Northern Shaanxi Based on Hyperspectral Data

Authors : Yong-heng Zhang, Xiao-yan Ai

Published in: Advanced Hybrid Information Processing

Publisher: Springer International Publishing

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Abstract

When using traditional monitoring technology to monitor the disaster area of potato in Northern Shaanxi, there was a problem of insufficient monitoring accuracy. In view of the above problems, a real-time monitoring technology for potato pests and diseases based on hyperspectral data is put forward. Firstly, the geological environment of the monitoring area is briefly introduced. Hyper Spectral Remote Sensing is used to obtain the hyperspectral data of the damaged area of the potato in the study area, and pretreatment is performed to establish a regression model. Finally, the pre-processed hyperspectral data is obtained. Substituting data into the model, the area of potato pests and diseases in the research area is obtained. The results showed that the accuracy of the method was 20.29% higher than that of the traditional potato pest and disease monitoring technology, and the accurate monitoring of the disaster area was realized. It has practicality and superiority.

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Metadata
Title
Real-Time Monitoring Technology of Potato Pests and Diseases in Northern Shaanxi Based on Hyperspectral Data
Authors
Yong-heng Zhang
Xiao-yan Ai
Copyright Year
2019
Book
Advanced Hybrid Information Processing

Print ISBN: 978-3-030-19085-9

Electronic ISBN: 978-3-030-19086-6

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-19086-6_12

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