Developing an Effective Organizational Model for the 2027 All-Russian Agricultural Census: Experience, Challenges, and Prospects

This article is devoted to developing practical recommendations for improving the methodological and organizational framework of the 2027 All-Russian Agricultural Census. The study covers a wide range of issues related to the preparation and conduct of a large-scale statistical survey, which necessitates the comprehensive development of regulatory documents to ensure a clear regulation of processes throughout all stages of the census work. The primary focus is on analyzing the current legal and regulatory framework governing agricultural censuses in modern Russia, examining previous experiences in conducting such exercises, and studying the specifics of international standards developed by the Food and Agriculture Organization of the United Nations (FAO). The article puts forward proposals for improving the methodology and procedures for the forthcoming census, including the introduction of innovative technological solutions such as Earth remote sensing (ERS) and the use of unmanned aerial vehicles (UAVs).

The paper addresses issues of data quality assurance by harmonizing approaches to information recording and analysis, thereby minimizing the potential for errors and distortions. Particular attention is paid to preparing the conditions for the complete coverage of all categories of agricultural producers and ensuring data confidentiality.

The practical significance of the study lies in the development of a reasonable plan of action aimed at increasing the effectiveness of the future All-Russian Agricultural Census, creating a high-quality information base for subsequent analysis, and formulating an evidence-based strategy for the development of Russian agriculture.

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