A computer measurement and display system for plant growth and a control method thereof

Abstract

The invention belongs to the technical field of plant measurement. A computer measurement and display system for plant growth and a control method thereof are disclosed. The computer measurement and display system for plant growth comprises a detection table, a near-infrared light emitting diode, an airtight rubber, a detector, a rotating arm, an optical lens, an optical fiber, an object table, adetection controller, an amplifier, a photoelectric sensor, a solar power supply module, a modeling module and a display module. The invention can obtain continuous solar energy for power supply through the solar energy power supply module, which saves energy and is economical and environmentally friendly. This technology adopts the whole system integration, simplifies the flow, reduces the energyconsumption, improves the detection precision through the airtight detection environment, and is suitable for the small laboratory application. At the same time, the invention can realize the real plant growth model through the model module based on the real measurement data of the plant.

Description

technical field [0001] The invention belongs to the technical field of plant measurement, in particular to a computer measurement and display system for plant growth and a control method. Background technique [0002] Plants are one of the main forms of life, including such familiar organisms as trees, shrubs, vines, grasses, ferns, and green algae and lichens. Among plants such as seed plants, bryophytes, ferns and pseudo-ferns, it is estimated that there are about 350,000 extant species. Most of the energy for green plants is obtained from sunlight through photosynthesis. Temperature, humidity, light, and fresh water are the basic needs of plants for survival. Seed plants have six major organs: roots, stems, leaves, flowers, fruits, and seeds. Green plants have the ability of photosynthesis—with the help of light energy and chlorophyll, under the catalysis of enzymes, they use water, inorganic salts and carbon dioxide to perform photosynthesis, release oxygen, absorb car...

AI Technical Summary

Problems solved by technology

[0004] The existing data information acquisition system in simulated photosynthesis is powered by traditional methods, which consumes electric energy; at the same time, the traditional sampling measurement of oxygen data is cumbersome and inconvenient to detect

[0005] In the existing plant growth, different growth patterns, such as height, diameter and other information, can only be accurately interpreted if there is a large difference. The detection rate of daily changes is poor, and the growth status of plants cannot be detected, and real-time plant diseases cannot be caused. The growth information of the growth graph is fed back; the common identification methods of graph similarity include probability statistics algorithm, minimum mean square error of eigenvalue and weighted average algorithm of necessary conditions of geometric appearance characteristics, etc.

Although a certain degree of efficiency has been achieved, there are still some shortcomings: the matching of the algorithm implementation process and visual resolution is not intuitive; the algorithm is complex, resulting in a large amount of data processing and high operating costs; the average analysis of the algorithm leads to important geometric features in the graph. The impact of changes in the overall similarity, resulting in a certain deviation in accuracy and stability

[0006] In the detection of plant growth information in the prior art, only the local geometric structure of the plant growth data is paid attention to, but the overall information of the data is not reflected

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