Diseases Detection System based on Machine Learning Algorithms and Internet of Things Technology used in Viticulture

Abstract

The concept of smart farming has begun to take hold in all sectors of agriculture, with the wine sector keeping pace with recent technological developments. Thanks to the advantages offered by new technologies, winegrowers are turning to IoT technology, sensor networks, robots, drones and artificial intelligence to monitor their vineyards in order to increase production and improve quality. Therefore, a study was carried out using sensor networks (WSN) to monitor the main environmental parameters that can affect grape production and quality, as well as ML algorithms to analyse the health status of vine leaves. With high-precision WSN sensors we can monitor in real time the condition of the plants as well as the environment. Artificial intelligence-based algorithms communicate to the user the susceptibility of plants to certain diseases. With the help of drones, images of the vines are captured to be analysed by the ML-based algorithm for the detection of diseases such as powdery mildew, downy mildew, and grey rot.