关键词：
image processing;quality of agricultural products;image denoising;LSTM network
摘要：
Farmers should provide high-quality agricultural products and companies should receive high-quality agricultural products, which is the purpose and pursuit of the business model of "companies plus farmers". In order to increase the stability of the cooperation mode between companies and farmers, it is necessary to detect the quality of agricultural products accurately, objectively and efficiently. Therefore, this article studies the quality inspection method of agricultural products based on image processing. Firstly, the traditional threshold calculation method and threshold function are improved to obtain more ideal denoising effect of agricultural products images. Aiming at the problem that the traditional image processing model cannot obtain fine-grained feature information of image objects, a multi-level feature dependence extraction network is constructed, and the structure and working principle of the network model are introduced in detail. Experimental results verify the effectiveness of the proposed algorithm and model for agricultural product quality inspection.
摘要：
To explore the optimal government subsidy strategy for a green supply chain (GSC) under behaviour-based pricing (BBP), three types of GSC subsidy models under BBP are explored by using game theory, and the influence of different subsidy ratios and subsidy coefficients on pricing and greenness under BBP was analysed for the first time. Additionally, the effects of different strategies are compared. Our results reveal the following: First, when the subsidy is based on output or green degree, the proportion of green product retailers receiving subsidies has only a positive impact on the wholesale price of green products. Second, when the product R&D input cost is subsidized, the proportion of green product retailers receiving subsidies is negatively correlated with greenness, wholesale price, loyalty price, poaching price, market share of green products and GSC profit. Third, when the product R&D input cost is subsidized, the loyalty and poaching prices of green products always increase with an increase in the subsidy coefficient. However, when the subsidy is based on output or green degree, the loyalty and poaching prices of green products increase or decrease with the increased subsidy coefficient. A numerical case example shows that the optimal subsidy strategy of a GSC under a BBP is different from those of previous studies. Subsidies based on green degrees are the optimal strategy for green product retailers, green consumers and governments.
作者机构：
[Zhou, Ping; Li, Hailing] Hunan Agr Univ, Business Sch, Changsha 410128, Peoples R China.
通讯机构：
[Hailing Li] B;Business School, Hunan Agricultural University, Changsha 410128, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
Tapio decoupling;carbon emissions;low-carbon transformation;sustainable development;Jiangsu
摘要：
Based on the Tapio decoupling model, this paper discusses the decoupling relationship between the economic growth and carbon emissions of the manufacturing sector in southern Jiangsu, northern Jiangsu and middle Jiangsu during the 13th Five-Year-Plan period. By using the LMDI method, the carbon emissions and influencing factors of 31 subindustries of the manufacturing sector in Jiangsu Province from 2016 to 2020 were quantitatively analyzed by region and industry. The main findings are as follows: (1) during the 13th Five-Year-Plan period, the growth rate of the energy consumption and carbon emissions of the manufacturing sectors in southern Jiangsu, northern Jiangsu and middle Jiangsu slowed down, and the industrial structure was increasingly optimized; (2) economic growth is the primary driving force behind the manufacturing carbon emissions in the three regions of Jiangsu Province, while energy intensity is the main factor that affects the carbon-emission differences among the manufacturing subsectors in the different regions; (3) improving the energy efficiency of high-emission-intensity industries, such as the ferrous metal smelting and calendering industry, chemical industry and textile industry, is the key to reducing the carbon emissions of the manufacturing sector in the different regions of Jiangsu in the future. Jiangsu Province should promote the upgrading of the manufacturing-industry structure, and it should encourage the high-energy-consumption industry to reduce its energy intensity by technological innovation to achieve the goal of emission reduction and economic growth.
