A crop seedling situation and seedling situation collecting and analyzing method and device

Abstract

The embodiment of the invention provides a crop seedling condition and seedling potential acquisition and analysis method and device, and the method comprises the steps of obtaining an aerial image ofa target area, carrying out the ridge cell recognition and background segmentation of the aerial image, and obtaining a plant image without a background; rotating the plant image to a ridge horizontal direction, and searching a plant contour based on a preset area threshold to obtain a plant contour of each plant; traversing the outline of each plant, and carrying out skeletonization treatment respectively to obtain a stem part of each plant; and sorting and clustering the stalk parts based on the ridge direction to obtain stalk positions, judging whether the two adjacent plants are lack of seedlings or not based on the distance between the stalk positions of every two adjacent plants, and obtaining the number of the lack of seedlings if the two adjacent plants are lack of seedlings. Themethod has the advantages that the seedling condition seedling potential phenotype parameters of crops can be acquired in real time according to aerial images, the seedling condition seedling potential can be analyzed and judged, the multi-task and multi-site simultaneous analysis can be performed, the seedling period characters of crop growth can be accurately and quickly positioned, the cost islow, and the flexibility is high.

Description

technical field [0001] The embodiments of the present invention relate to the field of agricultural information technology, and more specifically, to a method and device for collecting and analyzing crop seedling status and seedling potential. Background technique [0002] As adverse factors such as drastic changes in climate, reduction of land resources, and continuous population increase pose huge challenges to food security, increasing food production has become particularly urgent. Breeding excellent varieties to achieve high crop yield and maintain their stable yield under stress is an important way to solve the current food problems, and breeding varieties is inseparable from the measurement and analysis of various phenotypic parameters during the entire growth period of crops. The phenotypic measurement and analysis can provide valuable information for the selection and breeding of crops by combining the genotype and environmental factors of the crops at the same time...

AI Technical Summary

Problems solved by technology

At present, the acquisition of these phenotypic information parameters mainly relies on manual measurement, and its disadvantages are: aging workers, low efficiency, poor repeatability, and large subjective errors, which will affect subsequent analysis

Therefore, it is far from meeting the requirements for high-throughput phenotypic data collection in large-scale experimental plots.

Under this background, there are already some related researches and products abroad in this field, such as equipped with horizontally and vertically placed stereo cameras, field measurements have been carried out on multiple sorghum strains, and high-stalk crops such as sorghum Conduct phenotyping research; another example is to build an automatic field phenotyping platform, which aims to realize distributed, scalable, and automated crop phenotyping analysis in different field test environments, and also integrates image-based high-throughput trait phenotyping algorithms and software process, but the above two types of platforms are mainly used for phenotype collection in fixed areas, with high cost and poor flexibility

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