Evaluation on real-time self-organization algorithm of forest cultivation, tea planting, and tea processing for sustainable ecosystem management of agricultural water resources

Abstract

Agricultural water resources are water resources that can be used for agricultural production, including surface water, groundwater, and soil water. The sustainable use of water resources is of great significance to agriculture and rural economy. In the context of climate change and the increasing crisis of water resources, how to effectively use forest resources and other natural resources to achieve sustainable management of agricultural water ecosystems has become an increasingly urgent issue. Therefore, this paper proposed a real-time self-organization algorithm for forest cultivation, tea planting, and tea processing for sustainable ecosystem management of agricultural water resources. This paper described the sustainable ecosystem of agricultural water resources, carried out optimization analysis on tea planting and processing technology using the genetic optimization algorithm based on decision tree, and then carried out an experimental analysis on a tea garden. It can be seen from the data that the average monthly temperature of the tea garden cultivated by the algorithm in this paper was between 13.4 and 20.5 °C and the average annual temperature was 16.16 °C. However, the average monthly temperature of the traditional cultivation method was between 11.5 and 16.8 °C and the average annual temperature was 13.64 °C. HIGHLIGHTS A real-time self-organization algorithm for forest cultivation, tea planting, and tea processing is proposed for sustainable ecosystem management of agricultural water resources.; Optimization analysis on tea planting and processing technology is carried out using the genetic optimization algorithm based on a decision tree.; Experimental analysis is carried out on a tea garden.;

Keywords

• agricultural water resources
• decision tree
• forest cultivation
• self-organizing algorithm
• tea planting