Soil productivity analysis based on a fuzzy logic system

DURU N., DÖKMEN F., CANBAY M. M., Kurtulus C.

JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE, vol.90, no.13, pp.2220-2227, 2010 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 90 Issue: 13
  • Publication Date: 2010
  • Doi Number: 10.1002/jsfa.4074
  • Journal Name: JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.2220-2227
  • Keywords: fuzzy logic, pH, soil productivity, soil classification, salinity, PHOSPHORUS
  • Kocaeli University Affiliated: Yes

Abstract

BACKGROUND: Maintaining soil productivity is essential if agriculture production systems are to be sustainable. However, there is a paucity of tools for measurement for the purpose of understanding changes in soil productivity. Fuzzy logic-based analysis offers this possibility. It is a new method on the evaluation of soil productivity in Turkey and even in the world.