2025 Vol.8 Dec.N06

• Title: Adaptive Multimodal Intelligent Plant Care System
• Name: Zongliang Zhang12 ,Chenchen Zhang12, Yifan Wang12, Haozhe Bu 12
• Company: 1.School of Mechanical and Electrical Engineering, Zhengzhou Business University,zhengzhou  450000 China 2.Zhengzhou Intelligent Electromechanical Engineering Research Center,zhengzhou  450000 China
• Abstract:

  Aiming at the pain points of high threshold for home gardening maintenance and non-professional users' difficulty in controlling plant growth conditions, an intelligent home gardening system integrating Internet of Things, artificial intelligence and big data technologies is designed. The core of the system consists of five parts: sensing devices, control devices, regulating devices, transportation devices and interactive devices. Among them, environmental data is monitored in real time through sensors such as BH1750 light sensors, and the control system drives the regulating devices to automatically optimize plant growth conditions. New plants can be identified by K210 cameras or have their information manually input, and the system synchronously stores their suitable parameters. Users can also check real-time data, receive early warnings and record the plant growth process through multi-channel interaction. Compared with traditional maintenance methods, it greatly lowers the gardening threshold, enabling non-professional users to easily and accurately maintain various plants.

  
  

• Keyword: Home Gardening; Automatic Maintenance; Big Data Empowerment; Real-Time Monitoring
• DOI: 10.12250/jpciams2025091111
• Citation form: Zongliang Zhang ,Chenchen Zhang, Yifan Wang, Haozhe Bu , Fuhao Zhao.Adaptive Multimodal Intelligent Plant Care System[J]. Computer Informatization and Mechanical System,2025,Vol.8,pp.

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