Use of Fuzzy Logic System for Assessing Optically-Detected NPK Levels

Abstract

Soil is the core of agriculture, and the quality of the soil often influences which crops the farmers can and cannot cultivate in a particular area. The inaccessibility of modern agricultural equipment, such as those used to detect soil quality, is one of the factors leading to the Philippines' agriculture sector's downfall. Nitrogen (N), phosphorus (P), and potassium (K) are all significant soil quality indicators since they aid in plant growth and development. In this paper, the researchers formed a technique for determining NPK levels in a given soil sample. NPK levels were determined with an optical transducer and compared to lab-acquired values from soil samples. With a Pearson Correlation Coefficient R-value greater than 0.5, the device reading corresponds and correlates with the findings from the recognized soil testing facility in all nutrients Nitrogen (N), Phosphorus (P), and Potassium (K).