کاربرد ربات سمپاش برای تشخیص و کنترل لکه ای بیماری سفیدک پودری روی چغندر قند

For organic production, the reduction of pesticides is one of the important goals of modern agriculture in order to reduce the harmful effects on the environment and human health. New systems such as drones, robots and cameras, and intelligent systems have been used to help this new challenge. Wheeled robots have the advantage that they are in close contact with the plant and can detect pests and diseases in real-time and apply spot or patch treatment and not only prevent the spraying of pesticide on the soil but also on the healthy plants.
Sugar beet with about 7 million tons production in is one the most important crops in Iran. Powdery Mildew is one of the most common diseases of sugar beet. Powdery Mildew (PM) fungi are pathogens infecting the leaves of plants. PM disease can reduce the crop yield by up to 30% which is a large amount of crop production. The regular method for controlling leaf disease is using frequent fungicide spraying. This spraying is usually repeated two or three times to ensure crop health. Tridemorph fungicide was used in this study.
For this study, the existing robot in the University of Tabriz was modified, and a disease detection system was installed on it which contains a camera, an electric circuit, and a laptop for receiving and processing the data and sending it to the electric valve to engage the nozzle and spraying. Also, complete electric sprayer modules were developed on it that contains a reservoir, six to eight bars pressure water pump, electric valve, and blowing nozzle. After detecting the signal, the machine vision system provides the required signal to engage the nozzle and the nozzle starts spraying. This sprayer does not spray on the soil or healthy plants.
If necessary and re-contamination, spraying is repeated. By using this system, 40 to 95% of the amount of pesticide sprayed can be saved depending on the percentage of contamination.