Classification of Rice Leaf using Fuzzy Logic and Hue Saturation Value (HSV) to Determine Fertilizer Dosage

Rice is one of the food commodities that is most needed by the Indonesian people. Its condition requires farmers to maximize rice harvest as a rice-producing plant which one of them by providing fertilizer with the right dose. One of the methods used by rice farmers is to use a Leaf Color Chart to compare the color of rice leaves manually which might cause an error. Several research topics of classification based on plant image processing have been done to help the agriculture sector including rice. In this paper, the classification of rice leaves to determine the fertilizer dose by processing the rice leaf image using the HSV method is proposed. Results of rice leaf image processing are classified using fuzzy logic to calculate the right dose of fertilizer and developed as a mobile-based application. The proposed method achieved an accuracy value of 90% for the color of rice leaf and an accuracy value of 82.5% for the determination of fertilizer dose.