An intelligent irrigation system based on internet of things (IoT) to minimize water loss

This paper proposes a comparison of three machine learning algorithms for better intelligent irrigation system based on internet things (IoT) differents products. work's major contribution is to specify the most accurate algorithm among (k-nearest neighbors (KNN), support vector (SVM), artificial neural network (ANN)). achieved by collecting data specific products and split it into training test then compare accuracy algorithms. To evaluate performance our we built IoT devices. The temperature humidity sensors are installed in field interact with Arduino microcontroller. connected Raspberry Pi3, which holds algorithm. It turned out be ANN such irrigation. best choice an minimize water loss some