Soil nutrient detection using genetic algorithm

• Main Authors: Puno, John Carlo V., Bedruz, Rhen Anjerome R., Brillantes, Allysa Kate M., Vicerra, Ryan Rhay P., Bandala, Argel A., Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2019
• Subjects: Soils and animal nutrition; Soils and nutrition; Genetic algorithms; Mechanical Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/3361; https://animorepository.dlsu.edu.ph/context/faculty_research/article/4363/type/native/viewcontent/HNICEM48295.2019.9072689
• Institution: De La Salle University

© 2019 IEEE. Genetic Algorithm is the method used in this study in classifying the qualitative level of the soil nutrients. The data set includes images coming from the result of the soil testing. The extracted features were the HSV values and the LAB values color space. Out of the six extracted fea...