Swing-arm-type facility crop biomass multi-sensing detection device and swing-arm-type facility crop biomass multi-sensing detection method

Abstract

The invention relates to a swim-arm-type facility crop biomass multi-sensing detection device and a swing-arm-type facility crop biomass multi-sensing detection method. The swim-arm-type facility crop biomass multi-sensing detection device mainly comprises a T-shaped swing arm frame and a support frame, wherein the tail of a cross arm of the T-shaped swing arm frame is provided with a second digital camera; a vertical column of the T-shaped swing arm frame is provided with a first digital camera, and can rotate along the axis under the effect of a movement control clamp; sample brackets are arranged on the support frame; loading sensors are arranged between the sample brackets and the support frame. The method comprises the following steps: firstly, the swim-arm-type facility crop biomass multi-sensing detection device is arranged in advance; secondly, the swim-arm-type facility crop biomass multi-sensing detection device is started up for multi-sensing detection of crop biomass; finally, facility crop biomass characteristic parameters are extracted and described quantitatively. According to the invention, the machine vision and the biomass loading detection method are combined, and by multi-information fusion, the biomass information of the production process of facility crops is acquired circularly, and can be subjected to cruised monitoring automatically.

Description

technical field [0001] The invention relates to a device and method for detecting growth information of facility crops based on vision and mechanics multi-information fusion technology, in particular to a spiral arm type facility crop biomass multi-sensing detection device and method. Background technique [0002] my country is a big country in facility production, with the largest facility area in the world. In the process of facility production, the biomass information and dynamic change process of facility crops, especially leafy crops, are the key indicators in crop growth monitoring and yield estimation. Important basis for water and fertilizer management and yield estimation. At present, the biomass detection of crops and regional vegetation is mainly based on manual methods. The sampling process will remove the crops and vegetation in the sampling area as a whole, and carry out direct weighing measurement, which not only causes direct damage to the samples in the area,...

AI Technical Summary

Problems solved by technology

Although the invention patent application can detect the biomass of potted crops, due to the limitations of its detection method, it is difficult to accurately locate the same sample when detecting multiple plants, so it is impossible to realize the crop growth process. Dynamic Observation and Research of Biomass Change

To sum up, due to the limitations of existing crop biomass detection devices and methods, it is difficult to carry out continuous and cyclic detection of the biomass information and dynamic change process of facility potted crops, which cannot meet the needs of large-scale production in modern facilities. In the process, the need for quasi-real-time accurate dynamic monitoring of crop biomass

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