Gong He

Research on Automatic Temperature Adjusting and Controlling System of Ginseng Drying

Abstract: Drying is an important part in the process of producing ginseng, and it is an important means of processing and storage. At present, the drying system based on the dryer can not control the drying environment intelligently, and it has a great influence on the intrinsic quality, smell and water content of the ginseng. Through the analysis and research of the temperature control of existing ginseng processing equipment, this paper puts forward a kind of intelligent temperature controlling system which consists of wireless multi-point temperature and humidity collection, alarm displaying and intelligent controlling. This system has a great practical significance in solving the demand contradiction of the drying temperature of the ginseng, protecting the drying quality of the ginseng, improving the drying efficiency of the ginseng, reducing the labor force, saving energy and reducing emission.

Detection technology of plant protection equipment nozzle based on machine vision

In this paper, we present a method of using machine vision technology to detect the nozzle of plant protection equipment through two spray variables (spray angle and spray volume distribution area), which provides a good experimental direction to improve the performance of the nozzle of plant protection equipment. Firstly, we get the images information with different backgrounds and shooting angles. Secondly, we process the images by edge detection, mathematical morphology and other related digital image processing techniques. Thirdly, we obtain the target area of spray angle and fog quantity distribution using the Hough transform line detection algorithm and pixel method. Finally, we compare the area and angle with the reference values to judge the rationality of the method and establish the error range. Experimental results show that the feature variable values are ideal for plant protection equipment nozzle spray angle and spray volume distribution area. It is proved that the feasibility of our method.