Energy Conservation, Emission Reduction and Sustainable Development Strategies of Modern Smart Agricultural Meteorological Model

This study analyzes the strategies used for energy conservation, emission reduction, and sustainable development in modern intelligent agricultural meteorological models. It examines the role of agricultural weather services in improving agricultural production efficiency and disaster preparedness....

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Bibliographic Details
Published in2024 5th International Conference on Image Processing and Capsule Networks (ICIPCN) pp. 769 - 774
Main Author Xiong, Junhui
Format Conference Proceeding
LanguageEnglish
Published IEEE 03.07.2024
Subjects
Biological system modeling
Emission Reduction
Energy conservation
LoRa
Meteorological Model
Power demand
Resource management
Smart Agricultural
Smart agriculture
Sustainable Development
Voltage
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Summary:This study analyzes the strategies used for energy conservation, emission reduction, and sustainable development in modern intelligent agricultural meteorological models. It examines the role of agricultural weather services in improving agricultural production efficiency and disaster preparedness. Three levels of the sensor networks within modern smart agricultural weather systems are identified: airborne, environmental, and ground-based. This study presents innovative methodologies for integrating cutting-edge technologies and ecofriendly practices to address modern agricultural challenges. Specifically, it focuses on the construction of meteorological sensor networks and platforms, highlighting the importance of battery and power module design. In addition, the paper explores the use of LoRa technology for communication and presents a unified voltage approach to reduce power consumption. Experimental results on different sensor node configurations illustrate the effectiveness of different power saving strategies. This study contributes to the efficient evolution of agricultural meteorological models, promoting greater efficiency, resilience, and environmental stewardship in agricultural operations.
DOI:10.1109/ICIPCN63822.2024.00133