“四农普”来了，将对农业新质生产力等进行调查

Core Viewpoint - The State Council of China has announced the initiation of the Fourth National Agricultural Census in 2026, which aims to comprehensively assess the current state of agriculture, rural development, and farmers' lives in the context of modern agricultural policies and rural revitalization efforts [1][2]. Group 1: Overview of the Census - The Fourth National Agricultural Census will provide an objective reflection of new developments in agriculture, rural construction, changes in farmers' lives, and the effectiveness of rural reforms [1]. - The census will cover various subjects, including rural households, urban agricultural operators, agricultural production units, village committees, and township governments, focusing on sectors such as crop cultivation, forestry, animal husbandry, fishery, and related services [1]. Group 2: Methodology and Innovation - This census will employ a combination of comprehensive surveys and sampling, as well as long and short forms, to enhance efficiency and reduce the burden on grassroots workers [2]. - Modern technologies such as satellite remote sensing, drones, and artificial intelligence will be utilized to improve the digitalization of the census process [2]. - The census aims to create a unified agricultural data map to facilitate the application and sharing of census results [2]. Group 3: Timeline and Phases - The standard reference point for the census is set for December 31, 2026, with data collection covering the entire year of 2026 [2]. - The census will be conducted in four phases: preparation (2025-2026), on-site registration (January-May 2027), data processing and publication (June-December 2027), and data application development (2028-2029) [2]. Group 4: Importance and Confidentiality - The Fourth National Agricultural Census is a significant national survey that requires the cooperation of a wide range of participants due to its extensive scope and high technical demands [3]. - It is emphasized that all collected data must be reported truthfully, and any identifiable information must be kept confidential and not used for purposes outside of statistical analysis [3].