A SMART SYSTEM FOR DETECTING ANATOMIC AND HISTOLOGICAL SYMPTOMS OF DISEASED AGRICULTURAL PLANTS

This study describes a novel agricultural plant disease detecting smart system, capable of handling measured plant body parameters and images received by high resolution camera at the same time. The proposed plant disease detection method is based on evaluation of the signals received by measured and controlled plant body physical parameters like resistance, temperature and capacitance of the plant stem and image processing. An analogue plant model based on an electrical circuit with distributed parameters was developed. In addition, in the article the block diagram of the smart system for the early detection of plant diseases, the circuit diagram, its operation algorithm and operation software have been developed. Hence the article presents experimental data obtained as a result of measuring the physical parameters of the plant's body during one week.