Home planting machine system and its control method based on wireless communication

Abstract

The invention provides a household planting machine system based on wireless communication and a control method thereof; wherein the household planting machine system based on wireless communication comprises a planting machine that consists of an acquisition module, a regulation and control module, a main control module and a wireless communication module, a user terminal that is used for wireless communication with the planting machine, and a cloud server that is used for data interaction through an APP on the user terminal. According to the household planting machine system based on wireless communication and the control method thereof, a scientific automated plantation management that saves labor and time is provided; plantation fun is increased; and a good plantation experience is provided.

Description

technical field [0001] The invention relates to the field of plant planting, in particular to a wireless communication-based household planter system and a control method thereof. Background technique [0002] For plants, light, temperature and humidity, carbon dioxide and oxygen concentration are very important planting environmental factors. Through long-term planting practice, people have explored the planting standard control parameters of different plant growth stages, including the standard leaf size of each stage , standard light time, intensity, color, standard ambient temperature and humidity, standard soil temperature and humidity, standard carbon dioxide and oxygen concentration, variables that affect the strength of plant photosynthesis and other parameters. However, the existing planting machine products on the market do not make full use of these research data, and there are many defects: [0003] 1. The existing planting machines are not highly intelligent, a...

AI Technical Summary

Problems solved by technology

However, the existing planting machine products on the market do not make full use of these research data, and there are many defects:

[0003] 1. The existing planting machines are not highly intelligent, and users need to spend enough time and energy to manage plants. For example, the light intensity of some products cannot be automatically adjusted, and users need to move the products outdoors to fill in the light; almost no products are Irrigate according to the actual humidity of the plants, which can easily lead to insufficient water or excessive water, and often requires users to always pay attention to the water conditions of the plants;

[0004] 2. Existing planters cannot provide users with scientific guidance on plant planting control. Users do not know the standard light, temperature and humidity and other environmental parameters required for each stage of plant growth, which may easily lead to plant death or poor growth due to wrong planting management. ;

[0005] 3. The existing planting machines are not perfect in detecting plant growth conditions. Some products use simple image recognition technology, which cannot identify similar images or subtle changes, and cannot provide users with comprehensive and accurate information on plant growth conditions. The information obtained can be used to adjust the environmental factors of plant growth in a targeted manner

Images