Paper
1 April 2024 Greenhouse monitoring system based on the Internet of Things
Aiying Zhang, Ruquan Liang, Jianhui Shi
Author Affiliations +
Proceedings Volume 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023); 1308233 (2024) https://doi.org/10.1117/12.3026159
Event: 2023 4th International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology (MEMAT 2023), 2023, Guilin, China
Abstract
With the development of society and the progress of technology, the traditional agricultural production mode can no longer meet the needs of today's development. In recent years, China has vigorously promoted and supported the development of agriculture, with the development of agricultural greenhouses tending towards informatization, networking, and intelligence. Traditional agricultural greenhouses generally manage greenhouses based on user experience, wasting a lot of manpower and resources. Due to the gap between user experience and crop growth needs, it has a significant impact on crop yield and quality, making it difficult to further improve the development of agriculture. Based on the above issues, a monitoring system has been designed using Internet of Things technology on greenhouse greenhouses to achieve intelligent online visual monitoring, improve the quality and yield of crops more effectively, enhance the utilization rate of greenhouse greenhouses, improve user labor efficiency, and promote the stability of agricultural production development.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Aiying Zhang, Ruquan Liang, and Jianhui Shi "Greenhouse monitoring system based on the Internet of Things", Proc. SPIE 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023), 1308233 (1 April 2024); https://doi.org/10.1117/12.3026159
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KEYWORDS
Control systems

Environmental monitoring

Agriculture

Crop monitoring

Internet of things

Data processing

Environmental sensing

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