RETRACTED ARTICLE: Agricultural climate change and agricultural economic sustainability based on resource scheduling algorithm

Abstract

For resource scheduling algorithms in a grid environment, the strength, size, and robustness of the system must be considered. The resource scheduling algorithm will deal with the following problems: In the grid system, according to the status information and prediction information of the source node, the job submitted by the independent user is mapped to the appropriate grid node resource, the job runs at the correct time, and the Operations are a series of planning issues, such as monitoring and managing man-hours, and actively dealing with and adapting to agricultural climate changes to deal with the risks of various ecosystem species that cause agricultural climate changes. This is critical. Agriculture is a production activity that relies heavily on natural resources and is vulnerable to climate change. Therefore, there is an urgent need for agricultural economic production to adapt to climate change. As the main food crops, wheat, corn and rice are essential to sustainable agricultural production and human livelihoods. In areas suitable for growth in response to climate change, the large distribution of the three major food crops is essential to further improve climate change. The issue of sustainable development has become a topic of concern to human society today. Since the beginning of the 20th century, the development of science and technology and the remarkable improvement of creativity have created unparalleled material wealth and accelerated the development of civilization. At the same time, rapid population growth, high resource consumption, environmental pollution, ecological destruction, and the widening of the gap between North and South are becoming major problems worldwide. Under such circumstances, people clearly know that they must work hard to find a sustainable development path that combines population, economy, society, science, environment, and resources.