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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JERA</journal-id><journal-title-group><journal-title>Journal of Electronic Research and Application</journal-title></journal-title-group><issn>2208-3502</issn><eissn>2208-3510</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jera.v9i2.10082</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Innovative Research on the Integration of Big Data Technology in Poverty Recurrence Monitoring and Agricultural Product Sales Systems</title><url>https://artdesignp.com/journal/JERA/9/2/10.26689/jera.v9i2.10082</url><author>JiangYuxin,LiTingting,LiuXinyi</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>9</volume><issue>2</issue><history><date date-type="pub"><published-time>2025-04-03</published-time></date></history><abstract>With the advancement of the rural revitalization strategy, preventing poverty recurrence among previously impoverished populations has become a crucial social concern. The application of big data technology in poverty recurrence monitoring and agricultural product sales systems can effectively enhance precise identification and early warning capabilities, promoting the sustainable development of rural economies. This paper explores the application of big data technology in poverty recurrence monitoring, analyzes its innovative integration with agricultural product sales systems, and proposes an intelligent monitoring and sales platform model based on big data, aiming to provide a reference for relevant policy formulation.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>The State Council, 2024, The No.1 Central Document in 2024, People’s Publishing House, Beijing.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Wang W, Li M, 2022, Research on the Application of Blockchain Technology in Agricultural Products Supply Chain. Agricultural Economy Problems, 43(5): 89–97.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Zhang H, Liu Y, 2021, Big Data-Driven Early Warning Mechanism of Returning to Poverty. China’s Rural Economy, 39(8): 45–56.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Huang X, Li N, 2021, Research on Big Data-Driven Resilience Improvement Strategy of Rural Economy. Research on Agricultural Modernization, 42(4): 23–30.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Li Q, Wang F, 2022, Design and Implementation of Agricultural Product Traceability System based on Blockchain. Computer Application Research, 39(10): 3012–3018.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
