Abstract
Rice, as a major global staple crop, holds significant importance for food security and the enhancement of agricultural productivity. In recent years, the rapid development of big data technology has introduced new pathways and methodologies for studying rice variety adaptability. This paper systematically reviews the current status of big data technology applications in rice variety adaptability research, elaborating on its fundamental concepts and key technologies in the agricultural domain. It analyzes the primary factors influencing rice adaptability, including climatic conditions, soil characteristics, and other environmental factors. Through discussions of typical research cases, this paper highlights the application outcomes and research achievements facilitated by big data technology in rice adaptability studies. Furthermore, it delves into the limitations currently faced in the field, such as data quality, data sharing, and analytical methods. Future development directions are proposed, including data integration, interdisciplinary collaboration, and the potential application of emerging technologies. This paper aims to provide valuable academic insights for related research endeavors.
