Research on Ecological Agriculture Transformation Strategies in the Context of Rural Livability in the Digital Economy Era

Main Article Content

N. Shen
Q. Yang
Y. T. Wang
Z. X. Kang
C. X. Zhai

Abstract

This paper constructs a comprehensive evaluation index system covering the digital economy, rural livability, and ecological agriculture transformation, with attention to the sustainable cultivation of raw textile fibers. Based on statistical and field survey data from the Yangtze River Delta region of China from 2018 to 2023, the entropy method and coupling coordination degree model are used for empirical analysis. The results show that digital technology significantly optimizes agricultural production factor allocation: smart agriculture application scenarios increased from 120 to 850, fertilizer and pesticide application intensities decreased by 55 kg/ha and 3.3 kg/ha, respectively, and agricultural labor productivity increased by 26,000 yuan/person. A livable rural environment also promotes ecological agriculture transformation, with ecological agriculture accounting for 28.5% of total agricultural output value in highly livable areas. The coupling coordination degree of the three systems increased from 0.425 to 0.842, indicating a shift from moderate imbalance to good coordination. The findings support a digital-agricultural transformation path enabled by IoT, remote sensing, wireless sensor networks, and electromagnetic-wave communication infrastructure.

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How to Cite
Shen, N., Yang, Q., Wang, Y. T., Kang, Z. X., & Zhai, C. X. (2026). Research on Ecological Agriculture Transformation Strategies in the Context of Rural Livability in the Digital Economy Era. Advanced Electromagnetics, 15(3), 6992–6998. https://doi.org/10.7716/aem.v15i3.3779
Section
Research Articles

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