Production Efficiency Prediction of Pig Breeding Industry by Optimized LSTM Computer Algorithm under Environmental Regulation

Abstract

The study aims to improve the economic income of pig breeding industry under environmental regulation and control the environmental pollution caused by pig breeding. Long short-term memory (LSTM) neural network combined with environmental regulation is proposed to forecast the price of live pigs, to reduce the cost of environmental pollution control and improve the production efficiency of pig breeding. Primarily, analyses are made on the industrial structure and pollution of pigs in China, and studies are carried out on the inevitability of large-scale and intensive pig breeding. Then, pig breeding and environmental pollution are coordinated under the environmental regulation. From the perspective of green total factor productivity, calculation is made on the profit of pig breeding and the cost of environmental pollution control. Next, the LSTM neural network is used to predict the price of live pigs, thus effectively controlling the scale of pig breeding and making timely decisions that conform to market rules. The results show that with the increase of feed and land prices, the advantages of large-scale pig breeding gradually become prominent, which leads to the small- and medium-sized scale farmers withdrawing from the market. Compared with other similar models, the designed model can better simulate the future trend of hog price, of which the prediction accuracy is over 80%. When combined with environmental regulations, the prediction accuracy of the model for different data sets reaches 83%, so the designed model can better predict the changing trend of the price of live pigs, thus improving the production efficiency of large-scale pig farmers.

Economic and financial viability of a pig farm in central semi-tropical Mexico: 2022–2026 prospective

“…The results of [ 35 ] warn that with the increase in the price of feed and land, the advantages of large-scale pig farms gradually become prominent, thus, forcing small and medium-scale farms to close. Additionally, since pig farming is inevitably linked with the environment and productivity levels, environmental legislation could have a strong impact on the future development of the pork sector [ 27 ].…”

Regional differences and convergence of green total factor productivity in pig breeding: evidence from China

“…Onyenweaku and Effiong (2006) utilized the SFA method to measure pig productivity in Nigeria and investigate the factors influencing it. Common non-desired output indicators include measures of chemical oxygen demand (COD), total nitrogen (TN), and total phosphorus (TP) surface source pollution values for PGTFP (Jia et al, 2021;Zhong et al, 2022a).…”

“…The green total factor productivity of pig breeding (PGTFP) refers to the lowest resource consumption for achieving as much output as possible while minimizing the negative impact of pig breeding on the environment. PGTFP is an important indicator of the environmental and economic benefits of pig breeding development (Jia et al, 2021). The pig breeding industry has the most significant carbon emissions in the agricultural sector.…”

Removal of Antibiotic Resistance Genes from Animal Wastewater by Ecological Treatment Technology Based on Plant Absorption

“…According to data from the Ministry of Agriculture and Rural Affairs, only in 2015, China produced 2.633 billion tons of wastewater from livestock and poultry farming, but its comprehensive utilization rate was less than 60% [1,2]. If livestock wastewater is not effectively treated and discharged into surrounding water bodies, it will cause environmental pollution in agricultural areas [3,4]. Therefore, exploring efficient and low-cost wastewater treatment technology will be the focus of pollution prevention technology in the livestock and poultry farming industry.…”