Forecasting anthracnose-twister disease using weather based parameters: geographically weighted regression focus-Reference-Cited by-同舟云学术

Forecasting anthracnose-twister disease using weather based parameters: geographically weighted regression focus

Published:2021-02-19 Issue:5 Volume:29 Page:727-736
ISSN:2366-3286
Container-title:Spatial Information Research
language:en
Short-container-title:Spat. Inf. Res.

Author:

Isip Miguelito^ORCID,Alberto Ronaldo,Biagtan Ariel

Funder

Department of Science and Technology, Republic of the Philippines

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computers in Earth Sciences,Computer Science Applications,Geography, Planning and Development

Link

https://link.springer.com/content/pdf/10.1007/s41324-021-00386-6.pdf

Reference21 articles.

1. Wang, D., Chen, T., & Dong, J. (2014). Research of the early warning analysis of crop diseases and insect pests. IFIP advances in information and communication technology (pp. 177–187). Berlin: Springer.

2. Agrawal, R. (2001). Forecasting techniques in crops. I,A.S.R.I., Library Avenue, New Delhi—110 012.

3. PSA. (2015). Major crops statistics of the Philippines-Regional and Provincial (2010–2014). Philippine Statistics Authority. pp. 22.

4. Alberto, R. T., Santiago, S. E., Black, L. L., & Miller, S. A. (2002). Screening commercial onion cultivars for resistance to anthracnose. Final Report. Integrated Pest Management-Collaborative Research Support Program. Office of International Research and Development, Virginia Tech, VA. USA.

5. Alberto, R. T., & Aquino, V. M. (2010). Characterization of Colletotrichumgloeosporioides (Penzig) Penzig and Sacc. (Anthracnose) and GibberellamoniliformisWineland (Twister) infecting onions in the Philippines. Asia Life Sciences, 19(1), 1–36.

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