Implementasi Sistem Monitoring Pertumbuhan Tanaman Sawi Hijau Berbasis Pembelajaran Mesin

Abstract

Increasing production in agriculture, especially vegetables, needs to be done by utilizing technology in line with the increasing public demand for vegetables. Artificial Intelligence (AI) technology can support business processes in agriculture that can be used to increase agricultural production. One of the uses of this technology is to implement a machine learning-based plant growth monitoring system. Plant monitoring system during the growth period is needed to increase agricultural production. This research aims to design a monitoring system by applying the Support Vector Machine (SVM) algorithm as a classifier with the color feature extraction method using the Hue, Saturation, Intensity (HIS) method on the Raspberry Pi. The results showed that this mustard plant growth monitoring system can detect plants that have good and bad growth with accuracy of 90%.