Method and system for estimating grazing rate based on alpine meadow grass yield

A technology of grazing rate and grass yield, applied in computing, computer parts, character and pattern recognition, etc., can solve problems such as time-consuming and laborious, and achieve the effect of avoiding grassland degradation

Pending Publication Date: 2020-08-25
HEXI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the method of determining the amount of grass yield and its corresponding grazing rate in the alpine meadow is mainly to select representative sampling points in the field to arrange quadrat sampling, and then use the representativeness of the quadrat to estimate the grass yield in the area. The method of obtaining the grass yield and then obtaining the grazing rate is time-consuming and labor-intensive, and there are large errors

Method used

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  • Method and system for estimating grazing rate based on alpine meadow grass yield
  • Method and system for estimating grazing rate based on alpine meadow grass yield
  • Method and system for estimating grazing rate based on alpine meadow grass yield

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Embodiment 1

[0037] A method for estimating grazing rate based on alpine meadow grass yield, comprising the following steps:

[0038] S1. Acquisition of real-time remote sensing images of alpine meadows and grasslands based on drones; each remote sensing image of alpine meadows and grasslands carries supporting POS data, which includes latitude, longitude, elevation, heading angle (Phi), and pitch Angle (Omega) and roll angle (Kappa);

[0039] S2. Read the POS data contained in the real-time remote sensing image of the alpine meadow, and realize the detection and positioning of the grass coverage area in the alpine meadow based on the Faster R-CNN model, and generate an image set of the grass coverage area; the Faster R-CNN The model is constructed based on the grassland image set in the historical alpine meadow grassland;

[0040] S3. Realize the preprocessing of the image set of the grassland coverage area, and realize the recognition and measurement of the shape and size of the grassla...

Embodiment 2

[0044] A method for estimating grazing rate based on alpine meadow grass yield, comprising the following steps:

[0045] S1. According to the distribution map of the alpine meadow grassland, the planning of the coordinates of the UAV image acquisition is realized;

[0046] S2. Realize the collection of real-time remote sensing images of alpine meadows and grasslands based on the drone image acquisition coordinates obtained by the UAV according to the planning; each remote sensing image of alpine meadows and grasslands carries supporting POS data, and the POS data includes latitude and longitude , elevation, heading angle (Phi), pitch angle (Omega) and roll angle (Kappa);

[0047] S3. Read the POS data contained in the real-time remote sensing image of the alpine meadow, and realize the detection and positioning of the grass coverage area in the alpine meadow based on the Faster R-CNN model, and generate an image set of the grass coverage area; the Faster R-CNN The model is co...

Embodiment 3

[0052] A system for estimating grazing rate based on grass production in alpine meadows, including a remote sensing image acquisition module and an intelligent terminal with a display that communicates with the remote sensing image acquisition module; Realize the collection of remote sensing images of alpine meadow and grassland regularly, and send the collected remote sensing images of alpine meadow grassland to the smart terminal in real time through the wireless communication module. Each remote sensing image of alpine meadow grassland carries supporting POS data, and the POS The data includes latitude, longitude, elevation, heading angle (Phi), pitch angle (Omega) and roll angle (Kappa); the smart terminal contains:

[0053] Grassland coverage area recognition module, used to realize the recognition of grassland coverage area in alpine meadow grassland remote sensing image; said grassland coverage area recognition module first reads the POS data contained in the real-time r...

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Abstract

The invention relates to the field of environmental protection and particularly discloses a method and system for estimating the grazing rate based on the grass yield of alpine meadow grassland. The method comprises the following steps of acquiring a grassland coverage area image set based on a real-time remote sensing image of alpine meadow grassland and a Faster R-CNN model constructed by adopting a grassland image set in historical alpine meadow grassland; calculating the area of a grassland coverage area; achieving rapid estimation of the grass yield of the alpine meadow grass land by combining the length parameters of the grass corresponding to the grass in the time period; then, estimating the corresponding grazing rate according to the estimated grass yield of the alpine meadow grass land based on a grazing rate conversion model, so that the grazing rate corresponding to the current grassland can be quickly and accurately obtained, and the situation of grassland degradation caused by excessive grazing is avoided.

Description

technical field [0001] The invention relates to the field of environmental protection, in particular to a method and a system for estimating grazing rate based on grass yield of alpine meadow. Background technique [0002] The alpine meadow ecosystem is the main grassland ecosystem type on the Qinghai-Tibet Plateau, and the animal husbandry on the alpine meadow is the leading industry in the Qinghai-Tibet Plateau. At present, due to the unreasonable development and utilization of local herdsmen, such as overloading and overgrazing, the alpine meadow grassland in this area has been seriously degraded, and the determination of the grass yield and the corresponding grazing rate of the cold meadow meadow is the most effective way to avoid the alpine meadow. Methods of Meadow Grass Degradation. [0003] At present, the method of determining the amount of grass yield and its corresponding grazing rate in the alpine meadow is mainly to select representative sampling points in th...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06T7/60G06Q10/04G06Q50/02
CPCG06T7/60G06Q10/04G06Q50/02G06T2207/10032G06T2207/30188G06V20/188G06N3/045
Inventor 马银山陈叶
Owner HEXI UNIV
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