Microcontroller-Based Soil Nutrients Analyzer for Plant Applicability using Adaptive Neuro-Fuzzy Inference System

Authors

  • Paquito G. Fernando Jr.
  • Luisito L. Lacatan

Abstract

Philippines has a large agricultural land, but the agriculturists and farmers can’t be easily determine the condition of the soil in the agricultural land. Soil nutrients analysis is necessary to determine the fertility of the soil. The present paper aims to develop a microcontroller-based soil nutrients analyzer that will predict soil nutrient contents such as Nitrogen, Phosphorous and Potassium that are primarily needed for the development of the crops. Soil pH will be the main soil parameter in determining the nutrient contents of the soil by using a pH meter sensor. The study will also integrate the adaptive fuzzy inference system (ANFIS) in the microcontroller to predict suitable crops to be planted.

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Published

2020-01-27

Issue

Section

Articles