Fuzzy logic approach to explore climatic limitation on corn production in the Philippines

Issue Date

5-2017

Abstract

Corn production in the Philippines is highly sensitive to climate. However, to date, no assessment was done to determine which climate parameter (i.e. rainfall and temperature) limits corn production in the country. Using publicly available climatic surface data and fuzzy suitability assessment spatio-temporal mapping of climatic limitation on corn production was done for the entire Philippines. Based on the analysis, monthly rainfall is the major limitation of corn production in the country, specifically the rainfall during the first month of the growing period. For example, planting corn during the month of February, March, and April is not highly recommended for more than 40% of the country because monthly rainfall in these areas are lower than the minimum rainfall requirement (100 mm) of corn during the first month of its growing period.

Source or Periodical Title

Spatial Information Research

ISSN

2366-3286

Volume

25

Issue

3

Page

421-429

Document Type

Article

College

College of Human Ecology (CHE)

Physical Description

tables, maps

Language

English

Subject

Climate limitation, Corn, Fuzzy logic, Philippines, Spatio-temporal mapping

Identifier

DOI 10.1007/s41324-017-0109-3

Digital Copy

yes

En – AGROVOC descriptors

Spatio-temporal mapping; Fuzzy logic; Climate limitation; Corn; Philippines

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