Arabian Journal of Geosciences | 2021

Agricultural river pollution based on SAR image and analysis of milk protein nutrition consumer market

 

Abstract


This paper first studies the basic principle of polarimetric SAR image and then discusses the algorithm of obtaining plant coverage information and plant biomass based on full polarimetric SAR image data and extracts the information covered in the soil complex area after verifying it. Accordingly, in the study of Z river basin without holes and open areas, the concentration method is used to study the source of pollutants and the pollution status of agricultural rivers in large-scale and small-scale watershed. The relationship between annual precipitation and runoff and various soil and water conservation measures are discussed. The water pollution model of Z river basin is established to provide decision-making and scientific basis for controlling agricultural river pollution. Finally, this paper analyzes and investigates the market of milk protein nutrition consumers. With the in-depth implementation of the development and revitalization of the dairy industry, the scale of China’s milk production continues to expand, and the proportion of milk quality growth also continues to increase. At the same time, the production and sales scale of milk protein nutrition products continue to expand, and product categories, channels, and market models are constantly changing in recent years. Looking forward to the next three to five years, China’s milk protein market will develop in the direction of product innovation, high-quality “biased” upgrade products, and deep-processing products, in which service will become an important force in increasing the consumption of milk protein nutrition products. In this paper, the research results of agricultural river pollution based on SAR images are applied to the analysis of milk protein nutrition consumer market, which promotes the development of milk protein nutrition consumer market.

Volume 14
Pages None
DOI 10.1007/s12517-021-07952-0
Language English
Journal Arabian Journal of Geosciences

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