Author(s)

Dewang Jia

Corresponding Author

Dewang Jia

ABSTRACT

This article aims to explore the role and potential of agricultural intelligent irrigation DSS in meeting the challenges of traditional agricultural irrigation and promoting the sustainable development of agriculture. By constructing an intelligent irrigation system integrating data collection, processing and analysis, decision support model and user interface, this study has realized accurate control and efficient management of irrigation. The system uses Big data (BD) technology and machine learning algorithm to deeply mine and intelligently analyze multi-source data such as soil moisture, crop growth and weather changes, which provides scientific basis for irrigation decision-making. The research results show that the agricultural intelligent irrigation DSS can improve the accuracy and efficiency of irrigation, promote the transformation and upgrading of agricultural production mode, and inject new vitality into agricultural modernization and sustainable development. The use of the system is also helpful to protect water resources, reduce agricultural non-point source pollution, and promote the improvement of rural environment and the construction of ecological balance.

KEYWORDS

Agricultural intelligent irrigation; Big data; Decision Support System; Irrigation efficiency; Sustainable development