Crop canopy in-situ growth phenotype monitoring device and three-dimensional reconstruction method

Abstract

The embodiment of the invention provides a crop canopy in-situ growth phenotype monitoring device and a three-dimensional reconstruction method. Through a data acquisition and collection module arranged on a canopy top, an image acquisition module arranged in a canopy, and a fisheye lens arranged on a canopy bottom, the morphological structure data of the top, the interior and the bottom of the canopy of the crop to be detected can be obtained, and the height and the angle of the image obtaining module in the canopy can be adjusted, so that the morphological structure data in the canopy are richer, and finally, the growth monitoring of the canopy of the crop to be monitored is more accurate and overall, and the universality is very good. The canopy growth monitoring device is used for obtaining the morphological structure data of the top, the interior and the bottom of the canopy, the morphological structure data are used for phenotypic analysis and three-dimensional reconstruction after certain pretreatment, the workload is small, the efficiency is high, and the obtained three-dimensional reconstruction model is high in precision.

Description

technical field [0001] The invention relates to the field of agricultural technology, in particular to a crop canopy in-situ growth phenotype monitoring device and a three-dimensional reconstruction method. Background technique [0002] Crop canopy is an organizational system for crops to perform photosynthesis and material production functions, and its morphological structure has an important impact on light interception ability, canopy photosynthetic efficiency and crop yield. At the same time, the crop canopy structure also reflects the genetic characteristics of crop varieties and their adaptability to the environment. Under the influence of genetic and environmental factors, the crop canopy structure has temporal and spatial variability. Corn is one of the most important food crops in my country, with great potential for increasing production. Continuously monitoring the appearance and growth of maize canopy and quickly constructing a three-dimensional model of maize c...

AI Technical Summary

Problems solved by technology

These methods mainly obtain the shape or color texture data of the outer surface of the crop canopy. Due to the severe occlusion of the crop canopy, it is difficult for these methods to obtain the information of the crop morphology and structure inside the canopy; setting a fisheye lens inside the canopy to obtain hemispherical images can obtain canopy Canopy gap fraction or growth monitoring at the specified position of the layer, but this method has limited measurement positions, and the globality of the monitored information is poor; field walking robots can realize the collection of morphological structures in the canopy, but the field soil environment, row spacing, etc. There are specific requirements, not universal

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