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Analysis of agricultural production efficiency improvement and economic sustainability based on multi-source remote sensing data

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成果类型:
期刊论文
作者:
Long, Litao;Jingchai, Cui
通讯作者:
Long, LT
作者机构:
[Long, Litao] Hunan Agr Univ, Coll Econ, Changsha, Hunan, Peoples R China.
[Jingchai, Cui] Xian Peihua Univ, Sch Accounting & Finance, Xian, Shaanxi, Peoples R China.
通讯机构:
[Long, LT ] H
Hunan Agr Univ, Coll Econ, Changsha, Hunan, Peoples R China.
语种:
英文
关键词:
agricultural sustainability;multi-source remote sensing;Economic efficiency;Resource optimization;dynamic modeling
期刊:
Frontiers in Environmental Science
ISSN:
2296-665X
年:
2025
卷:
13
页码:
1546643
基金类别:
Special scientific research project of Shaanxi Provincial Department of Education Scientific Research Program Project in 2023, Research on the Effect Evaluation and Long term Mechanism of Green Finance Collaborative Support for Rural Revitalization [23JK0174]
机构署名:
本校为第一且通讯机构
院系归属:
经济学院
摘要:
Introduction Improving agricultural efficiency while ensuring environmental and economic sustainability remains a global challenge.Methods This study introduces the Integrated Agro-Economic Sustainability Framework (IAESF), a novel architecture that fuses multi-source remote sensing data-including satellite, UAV, and ground sensors-with multi-objective optimization and real-time feedback mechanisms. IAESF leverages predictive analytics and adaptive resource allocation to balance profitability with sustainability metrics such as carbon emissions, water usage, and biodiversity preservation. The ...

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