SoilMATe: Soil macronutrients and pH level assessment for rice plant through digital image processing using artificial neural network

• Main Authors: Arago, Nilo M., Orillo, John William F., Haban, Jenskie Jerlin, Juan, Jomer, Puno, John Carlo, Quijano, Jay Fel, Tuazon, Gian Matthew
• Format: text
• Published: Animo Repository 2017
• Subjects: Soil acidity; Soils—Testing; Image processing—Digital techniques; Neural networks (Computer science); Manufacturing
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/3917
• Institution: De La Salle University

In this study, digital image processing technique was used to efficiently identify the Macronutrients and pH level of Soil in the farmland of Philippines: (1) Nitrogen, (2) Phosphorus, (3) Potassium and (4) pH. The composition of the system is made of four sections namely, image acquisition, image p...