Rice Farming Age Detection Use Drone Based on SVM Histogram Image Classification

Abstract

Rice is the largest main food commodity in Indonesia. This makes rice farming technology needs to be developed to increase production. One of them is the technology development for rice age monitoring. In this paper, we presented the new method for Identified the growth phase of rice farming by using an Image from drone for information collecting in huge farming area. an Image data from drone is processed using an Image Processing method called Histogram of Color. After histogram information extracted, the data will be classified using machine learning called Support Vector Machine (SVM). the result of SVM is a classification of Rice farming's phase growth from pre-planting phase until harvesting phase. From the result of research, the accuracy of this method is about 93,3 %.

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