Перегляд Автор "Mingxin Huang"

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Digital image analysis technologies for decision support systems in agricultural
(КНУБА, 2019) Mingxin Huang; Vatskel, Vladimir
The paper describes information technologies for efficient management of crop yields and decision-making support in agriculture as a whole. The analysis of automation technologies supporting decision-making in agriculture indicates the necessity of their improvement and integration of new functions for increasing the yield and quality of agricultural products, increasing the efficiency of operational management of sown areas. The paper formulates the research tasks arising from the review of geoinformation technologies and technologies for the analysis of digital images of sown areas.
Review of monitoring and forecasting tools of the crop yield
(КНУБА, 2019) Mingxin Huang
A theoretical basis for research was created to solve the problem of creating an information technology for monitoring the yield of agricultural crops based on the analysis of multispectral images obtained by remote sensing. The geoinformation system created on the basis of this technology should monitor and yield the analysis of satellite time series of images to identify quantitative and qualitative indicators of yield, possible diseases of plants, and the like. The problem described in the work is relevant in conditions of environmental uncertainty. It is revealed that as a result of the food crisis, the consequence of which is a constant increase in the cost of food products, agriculture is increasingly functioning in conditions of uncertainty and risk, which requires the use of special research methods.
The research and application on highlight line of curved surface quality evaluation based on 3D assembly environment
(КНУБА, 2018) Qi Gu; Nengjun Ben; Weidong Hui; Chao Wang; Mingxin Huang
In view of the present situation of quality analysis methods of curves and curved surfaces, the paper introduced the theoretical basis and mathematical expression of curves and curved surfaces. Four highlight line configuration types, such as reflection, projection, isocline, reflection contours, for evaluate the curves and curved surface quality had been studied in the 3D assembly environment. Finally, a comparative analysis of impeller base surface has been given by the four typesin a 3D impeller assembly.