New Method for Research on the Development Level of Smart Agriculture Based on Big Data Technology

It is a relatively effective data processing method by using entropy method to study the development level of smart agriculture currently. Based on literature research, this study constructs a measurement model for the development level of smart agriculture from three dimensions,agricultural science and technology innovation capability, agricultural production environment level, and agricultural Internet operation status.By using big data technology tools to crawl statistical data, combines big data technology with entropy method, and studies the development level and spatio-temporal characteristics of smart agriculture in seven counties and districts of Binzhou City in 2014 and 2023. The study shows that Python technology can more intuitively display the comprehensive development level of smart agriculture and reveal the differences between regions. It has important theoretical and practical significance for formulating policies for the development of smart agriculture.