A livestock stage overgrazing early warning method based on cluster analysis

Abstract

The invention discloses a livestock stage overgrazing early warning method based on cluster analysis in that field of early war of overgrazing. The livestock overgrazing early warning method based oncluster analysis includes that a locator is arranged on that livestock of the pastoral area to be detected, the locator comprise the locating data of the livestock movement records of the pastoral area, the original trajectory data is cleaned and pretreated, the cleaning comprises the steps of removing irrelevant fields, removing null values, removing duplicate values, removing abnormal values, clustering analysis, and using a classical clustering algorithm k-means to perform basic clustering on the cleaned and pre-processed trajectory data; calculating the grazing intensity, comparing grazingintensity with overgrazing threshold, areas greater than or equal to the overgrazing threshold give an alert, as that trajectory data is accumulate over time, the graze intensity during the ten-day period is accumulatively calculated, and the grazing intensity is calculate based on the positioning data generated by the positioner worn by the livestock during the grazing process, which includes the motion records of the livestock in the pastoral area, and the cluster analysis method is combined to carry out the overgrazing warning.

Description

technical field [0001] The invention relates to the field of early warning of overgrazing, and more specifically relates to a method for early warning of overgrazing by stages based on cluster analysis. Background technique [0002] Overgrazing is the phenomenon of overgrazing when the number of livestock exceeds the capacity of the pasture. The consequence of overgrazing is grassland degradation. The performance is that the vegetation becomes sparse and low, and the grass yield continues to decline, gradually turning the grassland into a semi-desert, and the desertification finally turns into a desert. One of the reasons for the increasing number of sandstorms in the north is the destruction of grassland vegetation, which has caused the area of ​​desertified land to expand year by year. [0003] Overgrazing is the main cause of grassland degradation and land desertification, so it is very necessary to calculate the grazing intensity to judge whether overgrazing. Sunit Le...

AI Technical Summary

Problems solved by technology

Sunit Left Banner is a typical desert grassland. The grassland in this area carries 40 mu of livestock per year, which is particularly important for the monitoring and control of grazing intensity. In addition, the selection of grazing intensity monitoring and control methods is different. The monitoring results and control effects are not used, and the traditional calculation method is not suitable for overgrazing on a smaller space-time scale

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