Smart Potato Disorders Diagnostic System Based on Fuzzy K-Nearest Neighbor

Abstract

Towards smart agriculture, machine learning techniques are now used for different things in agriculture. One of these things is plant diagnosis. This paper aims to establish a smart system to diagnose the diseases of the potato plant with less number of symptoms from the user that appeared on the plant through knowledge discovery (data mining process) techniques, and provide the decision support to the farmer when farmer needs to know the treatment for the potato plant. The proposed model achieved an accuracy of 97%.