Fuzzy Logic Tool to Forecast Soil Fertility in Nigeria

Autor: G. O. Ogunleye, S. G. Fashoto, Petros Mashwama, S. A. Arekete, O. M. Olaniyan, B. A. Omodunbi
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: The Scientific World Journal, Vol 2018 (2018)
Druh dokumentu: article
ISSN: 2356-6140
1537-744X
DOI: 10.1155/2018/3170816
Popis: The soil is composed of several nutrients which are important for the effective growth of plants. Nitrogen, phosphorus, and potassium are micronutrients which are very important for plant growth. There have been several methods and soil tests developed to test the compositions of these nutrients in the soil. Interpreting the results gotten from such tests has been a herculean task for farmers. Employing the use of a soft computing method to interpret such result would be a noble idea. In this paper, we describe the use of fuzzy logic to interpret the values of nitrogen, phosphorus, and potassium (NPK) gotten from conventional soil test to know their levels in the soil and predict possible NPK inputs.
Databáze: Directory of Open Access Journals
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