Precisely forecasting population dynamics of agricultural pests based on an interval type-2 fuzzy logic system: case study for oriental fruit flies and the tobacco cutworms-Reference-Cited by-同舟云学术

Precisely forecasting population dynamics of agricultural pests based on an interval type-2 fuzzy logic system: case study for oriental fruit flies and the tobacco cutworms

Published:2022-02-18 Issue:4 Volume:23 Page:1302-1332
ISSN:1385-2256
Container-title:Precision Agriculture
language:en
Short-container-title:Precision Agric

Author:

Jiang Joe-Air,Syue Chih-Hao,Wang Chien-Hao,Liao Min-Sheng,Shieh Jiann-Shing,Wang Jen-Cheng^ORCID

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences

Link

https://link.springer.com/content/pdf/10.1007/s11119-022-09886-3.pdf

Reference61 articles.

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3. Armstrong, J. W. (2011). Quarantine security of bananas at harvest maturity against Mediterranean and Oriental fruit flies (Diptera: Tephritidae) in Hawaii. Journal of Economic Entomology, 94(1), 302–314. https://doi.org/10.1603/0022-0493-94.1.302

4. Bouvier, J. C., Boivin, T., Beslay, D., & Sauphanor, B. (2002). Age-dependent response to insecticides and enzymatic variation in susceptible and resistant codling moth larvae. Archives of Insect Biochemistry and Physiology, 51(2), 55–66. https://doi.org/10.1002/arch.10052

5. Box, G. E. P., Jenkins, G. M., & Reinsel, G. C. (2008). Time series analysis: Forecasting and control (4th ed.). Wiley.

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