A hybrid physics-data-driven optimization model for grassland grazing management

A hybrid physics-data-driven optimization model for grassland grazing management

This paper presents a hybrid physics-data-driven optimization model for grassland grazing management. It comprehensively assesses essential factors in the Abaga Banner grassland ecosystem, including soil moisture, vegetation biomass, desertification degree index, and soil compaction. Through a thoro...

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Bibliographic Details
Main Authors: Yu Bo, Li Yulong
Format: Article
Language:English
Published: Sciendo 2023-07-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
grassland grazing management
nonlinear mathematical models
genetic algorithm
grazing pattern
grazing intensity
91b76
Online Access:https://doi.org/10.2478/amns.2023.2.01125

Internet

https://doi.org/10.2478/amns.2023.2.01125

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