Intelligent plant cultivation system based on data driving and using method thereof
A plant cultivation, data-driven technology, applied in the field of intelligent plant cultivation system, can solve the problem of inability to accurately adjust the soil environment of flowers and plants, and achieve the effect of ensuring universality
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Embodiment 1
[0037] Example 1, such as figure 1As shown, a data-driven intelligent plant cultivation system can automatically determine and control soil moisture and pH according to the plant species, region, and season, based on the experience of experts in cultivating plants and data mining technology. Based on the trained CatBoost classifier and plant, season, geographic location and other information, the system confirms the soil moisture and pH information to be maintained, and automatically adjusts the soil environment for plant growth through the detection module and adjustment module of soil moisture and pH . The system includes a central processing module, a wireless communication module, a server and a mobile terminal, the mobile terminal is an APP terminal of a mobile phone, the mobile terminal is connected to the server, and the server is connected to the central processing module through a wireless communication module; the central processing module is connected through a wire...
Embodiment 2
[0048] Embodiment 2, a method of using a data-driven intelligent plant cultivation system, which gathers cultivation data and records of a large number of experts cultivating different flower plants, and trains these data through a CatBoost classifier to obtain different dimensions, different seasons, and different flowering periods. The proper value of soil humidity and pH; it integrates various sensor modules in different forms, such as the soil moisture detection module based on the CSF11 soil moisture transmitter, and the soil pH detection module based on the X8W850-H1 wireless soil pH sensor. Real-time monitoring of the status of flowers and plants during the cultivation process lays the foundation for precise adjustment; at the same time, an image acquisition and processing module based on OpenMV4 H7 machine vision is introduced to collect and compare image information of flowers and plants in real time. The user intervenes in manual adjustment, and inputs the adjusted in...
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