Plant phenotype multi-source data acquisition system

Abstract

The invention discloses a plant phenotype multi-source data acquisition system which comprises a host case of bearing arrangement and protection of a multi-source sensor of the whole system, a laser radar, a thermal infrared camera, a high-resolution industrial cameral, a high spectrometer and a central control computer. The system has multi-source data acquisition capability, is abundant in data capacity, and can be used for further development of extraction and calculation of physiological and biochemical correlation parameters when used for plant phenotype structure analysis. A more powerful support is provided for plant phenotype research; and meanwhile, a plurality of vehicles can be mounted on a stable track as operation platforms and can be carried on an advancing mobile platform, so that the plant phenotype multi-source data acquisition system is high in operation flexibility and is not affected by indoor and outdoor environments.

Description

technical field [0001] The invention relates to data collection technology, in particular to a plant phenotype multi-source data collection system. Background technique [0002] The existing plant phenotype data collection is mainly based on manual measurement, and the data collection process is inefficient. During the data collection process, subjective measurement errors caused by human factors are inevitable. With the development of computer vision and sensor technology , a phenotypic data acquisition system based on high-resolution images has emerged. This type of system has a single sensor and requires many auxiliary equipment for system operation. Multiple acquisitions are required for different types of data, and the acquisition cycle is long. At the same time of asynchronous measurement, due to the influence of external environment disturbance, the acquisition of multi-source data is not strictly the same period data, which is not conducive to the later data fusion p...

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Problems solved by technology

[0002] The existing plant phenotype data collection is mainly based on manual measurement, and the data collection process is inefficient. During the data collection process, subjective measurement errors caused by human factors are inevitable. With the development of computer vision and sensor technology , a phenotypic data acquisition system based on high-resolution images has emerged. This type of system has a single sensor and requires many auxiliary equipment for system operation. Multiple acquisitions are required for different types of data, and the acquisition cycle is long. At the same time of asynchronous measurement, due to the influence of external environment disturbance, the acquisition of multi-source data is not strictly the same period data, which is not conducive to the later data fusion processing

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