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Proceedings Paper

Research of spatio-temporal analysis of agricultural pest
Author(s): Changwei Wang; Deren Li; Yueming Hu; Xiaofang Wu; Yu Qi
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Paper Abstract

The increase of agricultural pest disasters in recent years has become one of major problems in agriculture harvest; how to predict and control the disasters of agricultural pest has thus attracted great research interest. Although a series of works have been done and some achievements have been attained, the knowledge in this area remains limited. The migration of agricultural pest is not only related to the time variation, but also the space; consequently, the population of agricultural pest has complex spatio-temporal characteristics. The space factor and the temporal factor must be considered at the same time in the research of dynamics changes of the pest population. Using plant hoppers as an object of study, this study employed the biological analogy deviation model to study the distribution of pest population in different periods of time in Guangdong Province. It is demonstrated that the population distribution of plant hoppers is not only related to the space location, but also has a certain direction. The result reported here offers help to the monitor, prevention and control of plant hoppers in Guangdong Provinces.

Paper Details

Date Published: 15 October 2009
PDF: 7 pages
Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 74923A (15 October 2009); doi: 10.1117/12.838413
Show Author Affiliations
Changwei Wang, Wuhan Univ. (China)
South China Agricultural Univ. (China)
Deren Li, Wuhan Univ. (China)
Yueming Hu, South China Agricultural Univ. (China)
Xiaofang Wu, South China Agricultural Univ. (China)
Yu Qi, South China Agricultural Univ. (China)

Published in SPIE Proceedings Vol. 7492:
International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining
Yaolin Liu; Xinming Tang, Editor(s)

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