The Impact of Digital Technology Application on Agricultural Low-Carbon Transformation—A Case Study of the Pesticide Reduction Effect of Plant Protection Unmanned Aerial Vehicles (UAVs)

Reducing pesticide use is a crucial step toward achieving the green and low-carbon transformation of agriculture. Analyzing the role and mechanisms of agricultural digital technologies—particularly plant protection unmanned aerial vehicles (UAVs) for aerial spraying—is essential for identifying viable strategies to reduce pesticide application intensity among farming households. This analysis is critical for facilitating the low-carbon transformation of rice production and advancing sustainable agricultural development. This study, using survey data from 455 farming households in Jiangxi Province, China, employs Ordinary Least Squares (OLS) and Propensity Score Matching (PSM) methods to investigate the relationship between plant protection UAVs and pesticide application intensity. The findings reveal that adopting plant protection UAVs significantly reduces pesticide application intensity in rice production by 24.9%. Further analysis indicates that the reduction effect is more pronounced among non-aged, large-scale, and part-time farming households. To achieve the low-carbon transformation of rice production, it is vital to enhance agricultural support policies and develop effective market promotion and application mechanisms to encourage the adoption of UAV-based aerial spraying and other digital agricultural technologies.

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Publication Details

Journal
Sustainability
Published
2024-12-12
DOI
https://doi.org/10.3390/su162410920
Citations
5
Primary Topic
Regional Development and Environment
Type
article
Field-Weighted Citation Impact
5.66

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article

The Impact of Digital Technology Application on Agricultural Low-Carbon Transformation—A Case Study of the Pesticide Reduction Effect of Plant Protection Unmanned Aerial Vehicles (UAVs)

Xueping Gao, Yuhan Zhang, Zhenlin Weng, Qian Deng et al.
5 citations
Sustainability
Regional Development and Environment
5.66
article

The Impact of Digital Technology Application on Agricultural Low-Carbon Transformation—A Case Study of the Pesticide Reduction Effect of Plant Protection Unmanned Aerial Vehicles (UAVs)

Xueping Gao, Yuhan Zhang, Zhenlin Weng, Qian Deng, Zhixian Lin
article en
5 citations

Abstract

Reducing pesticide use is a crucial step toward achieving the green and low-carbon transformation of agriculture. Analyzing the role and mechanisms of agricultural digital technologies—particularly plant protection unmanned aerial vehicles (UAVs) for aerial spraying—is essential for identifying viable strategies to reduce pesticide application intensity among farming households. This analysis is critical for facilitating the low-carbon transformation of rice production and advancing sustainable agricultural development. This study, using survey data from 455 farming households in Jiangxi Province, China, employs Ordinary Least Squares (OLS) and Propensity Score Matching (PSM) methods to investigate the relationship between plant protection UAVs and pesticide application intensity. The findings reveal that adopting plant protection UAVs significantly reduces pesticide application intensity in rice production by 24.9%. Further analysis indicates that the reduction effect is more pronounced among non-aged, large-scale, and part-time farming households. To achieve the low-carbon transformation of rice production, it is vital to enhance agricultural support policies and develop effective market promotion and application mechanisms to encourage the adoption of UAV-based aerial spraying and other digital agricultural technologies.

SustainabilityVol. 16(24)
Jiangxi Agricultural University (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 4%
Regional Development and Environment
5.66
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The Impact of Digital Technology Application on Agricultural Low-Carbon Transformation—A Case Study of the Pesticide Reduction Effect of Plant Protection Unmanned Aerial Vehicles (UAVs) — Xueping Gao, Yuhan Zhang, et al. · Sustainability (2024) | TGRS Research Map | TGRS