IoT System for Vine Disease Monitoring

In recent years, the concept of the Internet of Things has spread in most fields due to the multiple benefits it offers, so they have recently started to be used in viticulture, together with artificial intelligence. These two innovative technologies and classical methods can lead to a much more efficient and rapid prediction of diseases that may occur in grapevine culture. As a goal, the present work aims to detect diseases from the period when the evolution can still be prevented by minimizing the occurrence in which the cause can develop using an algorithm for predicting and comparing the data taken from IoT sensors with the data taken classically. The data preprocessing is presented in this paper for automatic disease identification.