Research on the Reconstruction of Agricultural Systems from an Extreme Comprehensive and Interdisciplinary Perspective —— Theory, Technology and Governance Practice

Abstract

Abstract

Current global agriculture faces multiple dilemmas including "large population, high risks, high costs, severe pollution, and strong demand". Different regions in China also have their own challenges: poor water quality in the river network area of the Yangtze River Delta affects food security, insufficient groundwater in the Huang-Huai-Hai Plain, and low crop yields on sloping land in the southwest mountainous areas. This study optimizes the "Agricultural Mega-Synthesis and Interdisciplinarity (AMS)" framework, adds 4 specific research directions and 3 regional adaptation schemes, and constructs a six-layer practical model from "gene to food system". Through an interdisciplinary approach of "explainable artificial intelligence + scientific principles + farmer training", the goals are to increase grain yield per unit area by more than 20%, reduce greenhouse gas emissions by more than 30%, enable more than 70% of farmers to use new technologies, and formulate carbon sink trading guidelines and a technical applet for farmers, providing practical solutions to the agricultural problems of "high yield, risk resistance, and low carbon".