Paper
22 April 2022 Intelligent planting detection system based on Internet of Things technology
Qianlong Yu
Author Affiliations +
Proceedings Volume 12174, International Conference on Internet of Things and Machine Learning (IoTML 2021); 1217403 (2022) https://doi.org/10.1117/12.2628594
Event: International Conference on Internet of Things and Machine Learning (IoTML 2021), 2021, Shanghai, China
Abstract
With the development of society, environmental problems are becoming more and more important. We should develop the environment while developing the economy. People's awareness of environmental protection should also continue to improve, and begin to pay more attention to ecology. Cities all over the world should take the road of ecological development and build ecological cities. The construction of ecological city is the symbol of human civilization and the inevitable trend of urban development. This leads to a very important concept in eco-city, that is the plant wall. Based on this, the author designed a simple intelligent planting system based on SCM. The system uses MCU "Arduino Uno R3" as the main control chip. The photosensitive resistance sensor and humidity sensor are used to measure the current information and feed back to the MCU. LED lights and feeders work to realize automatic watering, lighting and feeding fish on time. Finally, the entire system can be controlled through a wireless connection to the phone. In this paper, the hardware and software parts of the system are mainly designed, and the parameters of the system are tested, which basically realize the function and improve the intelligent degree of plant planting.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qianlong Yu "Intelligent planting detection system based on Internet of Things technology", Proc. SPIE 12174, International Conference on Internet of Things and Machine Learning (IoTML 2021), 1217403 (22 April 2022); https://doi.org/10.1117/12.2628594
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KEYWORDS
Intelligence systems

Sensors

Humidity

Clocks

LCDs

Internet

Light sources and illumination

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