Forestry epidemic prevention inspection monitoring and early warning system and method based on big data

The invention discloses a forestry epidemic prevention inspection monitoring and early warning system and method based on big data, and belongs to the field of data processing. Epidemic situation characteristics and environmental change data obtained through recognition are imported into an epidemic...

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Hauptverfasser: ZANG YUNPENG, WANG XUEFENG, YANG ZIHUI, GUO TINGTING, FAN DAZHENG, WANG MINGXING, ZHANG CHUN, SUN YU, LYU TUO, HEI JINGYING, HUANG RAN, LI JUAN, DUAN QIONG, WANG DEJUN, LI SHEN, JIN HONGLIANG
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a forestry epidemic prevention inspection monitoring and early warning system and method based on big data, and belongs to the field of data processing. Epidemic situation characteristics and environmental change data obtained through recognition are imported into an epidemic situation environmental change model construction strategy for construction of an epidemic situation environmental change model, and environmental change data in a future time period are obtained; the acquired environment change data in the future time period is imported into an epidemic situation environment change model to estimate the future time epidemic situation change trend, epidemic situation early warning is performed according to the estimated future time epidemic situation change trend, and occurrence, development and propagation of pests are monitored and predicted by using a big data means. The method can timely and accurately warn the risk that may cause insect pests, so as to take corresponding cont