Author/Authors :
Ogunleye, G. O Department of Computer Science - Federal University - Oye - Ekiti - Ekiti State - Nigeria , Fashoto, S. G Department of Computer Science - University of Swaziland - Kwaluseni - Swaziland , Mashwama, Petros Department of Computer Science - University of Swaziland - Kwaluseni - Swaziland , Arekete, S. A Department of Computer Science - Redeemer’s University - Ede - Osun State - Nigeria , Olaniyan, O. M Department of Computer Engineering - Federal University - Oye-Ekiti - Ekiti State - Nigeria , Omodunbi, B. A Department of Computer Engineering - Federal University - Oye-Ekiti - Ekiti State - Nigeria
Abstract :
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.
