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16 June 2023 Design of crop detection system based on Yolov5 and Internet of Things
Tieshan Xie, Can Hu, Guowei Dong, Tao Mao, Yayi Sun
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Proceedings Volume 12702, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023); 127020T (2023) https://doi.org/10.1117/12.2680449
Event: International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023), 2023, Changsha, China
Abstract
In order to detect the growth environment indicators of farmland more comprehensively and improve the collection efficiency, a multi-channel data scanning detection system was developed based on Arduino, which integrated temperature and humidity detection, light intensity detection and soil moisture detection. The communication data mainly used MQTT protocol and relied on the Topic mechanism provided by Ali Cloud Internet of Things platform to publish, and the above data can be displayed in real time on the PC side. Based on the Yolov5 development environment, the development of the main interface, serial port configuration and debugging interface, data distribution interface, and entering the monitoring system interface was carried out, and the received index data was saved to the PC side. Through two-dimensional color painting, the data distribution of each area plot was displayed in real time. Field monitoring experiments show that the system runs stably and reliably, and achieves efficient collection and visual detection.
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Tieshan Xie, Can Hu, Guowei Dong, Tao Mao, and Yayi Sun "Design of crop detection system based on Yolov5 and Internet of Things", Proc. SPIE 12702, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023), 127020T (16 June 2023); https://doi.org/10.1117/12.2680449
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KEYWORDS
Agriculture
Humidity
Internet of things
Sensors
Detection and tracking algorithms
Environmental sensing
Rain
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