Core Insights - The first carbon footprint factor benchmark database for agricultural products in China has been established, covering major crops and economic products, with data from 29 provincial regions and 38,000 entries [1][2] Group 1: Database Development - The database has completed the construction of carbon footprint factor datasets for various agricultural products including wheat, corn, rice, apples, citrus, peanuts, vegetables, and sugarcane [1] - The database utilizes a three-level accounting system based on the full lifecycle of agricultural products, integrating key emission sources such as fertilizer use, pesticide application, plastic film coverage, irrigation energy consumption, and mechanical tillage [1] Group 2: Future Expansion and Technological Integration - By 2027, the database is expected to expand to include 50 core agricultural products, with a goal to cover all agricultural product categories by 2035 [2] - The project will incorporate remote sensing, artificial intelligence, and big data technologies to enhance the monitoring and accounting of agricultural carbon footprints [2] Group 3: Impact on Agriculture and Climate Goals - The construction of the database aims to provide a quantifiable standard for the agricultural sector, supporting the carbon emission measurement for the food supply of 1.4 billion people in China [2] - The initiative is positioned as a contribution to global climate governance, aligning with China's dual carbon goals [2]

Core Insights - The establishment of China's first national carbon footprint database for agricultural products marks a significant step towards precise quantification management in the agricultural sector, aligning with the national "dual carbon" strategy [1][2] Group 1: Database Overview - The database covers eight major categories of agricultural products, including staple grains and economic crops, with data from 29 provincial administrative regions and a total of 38,000 data entries [1][2] - It has been developed over three years, following guidelines from the Intergovernmental Panel on Climate Change and utilizing a full lifecycle carbon footprint accounting framework [2][3] Group 2: Core Functions - The database allows government departments to comprehensively understand the carbon footprint of major agricultural products, enabling the analysis of carbon footprint changes over the past 20 years and identifying low-carbon advantage regions [3] - It establishes a provincial carbon footprint benchmark evaluation system, allowing enterprises to compare their products' low-carbon levels and optimize production techniques [3] - The database focuses on high-emission segments and major emission sources, providing tailored low-carbon solutions for specific regions and products [3] Group 3: Future Development Plans - The project aims to expand the database to include 50 core agricultural products by 2027 and to cover all agricultural product categories by 2035 [4] - It plans to enhance accuracy through county-level emission factor monitoring and data collection, establishing a county-level grid monitoring system [4] - The introduction of remote sensing, AI, and big data technologies will improve the monitoring and accounting of agricultural carbon footprints [4]