Growth condition detection method for plants in home-use planting machine

Abstract

The invention aims at providing a growth condition detection method for plants in a home-use planting machine. The method is characterized in that a controller, a camera, an illumination intensity sensor, an LED light source, a CO2 generator, a CO2 concentration sensor, a temperature and humidity sensor and a temperature and humidity controller of the home-use planting machine are utilized for conducting preliminary detection through an image recognition technology, and then complementary detection is conducted through changes of the CO2 concentration in the photosynthesis process; the detection method comprises the steps of image collection, image recognition, environment adjustment, CO2 concentration change detection and calculation and analysis. By means of the method, the defect that the simple image recognition technology is not accurate enough can be overcome, photosynthesis of the plants themselves is utilized, interference of other environmental factors to detection are avoided, information obtained through detection is more comprehensive and accurate, and scientific guidance is provided for the planting machine to conduct regulation and control of the plant growth environment.

Description

technical field [0001] The invention relates to the technical field of greenhouse plant growth information and environmental information detection, in particular to a method for detecting plant growth status of a household planter. Background technique [0002] With the continuous improvement of the research level of greenhouse technology in our country, people have gradually explored the relationship between the environmental parameters of plant growth such as light, humidity, water and fertilizer, and plant growth and production process, and through long-term planting practice, they have known the relationship between different plant growth conditions. Planting standard control parameters at each stage, including standard leaf size, stem thickness, standard light time, intensity, color, standard ambient temperature and humidity, standard soil temperature and humidity, standard carbon dioxide and oxygen concentration, etc. A comprehensive evaluation system for plant growth ...

AI Technical Summary

Problems solved by technology

[0004] 1. Through photoelectric and drainage detection, this method needs to remove the leaves for detection, and cannot automatically obtain the growth status of the plants and damage the plants;

[0005] 2. It is detected by non-destructive detection methods such as spectral technology and infrared temperature detection technology. The process is easily affected by environmental factors such as crop canopy structure, soil background spectrum, atmospheric window, temperature and humidity, and it is difficult to make a comprehensive, systematic and accurate judgment on plant growth status;

Although the detection method is simple and will not damage the plants, in some cases, the images of plants in different growth intervals are not significantly different, or the visual images of plants in a certain growth interval are not significantly different, and it is difficult to identify them with image recognition technology alone. Subtle changes in the process of plant growth make it difficult to make a comprehensive and accurate judgment

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