A Hybrid Model for Temperature Prediction in a Sheep House

A Hybrid Model for Temperature Prediction in a Sheep House

Too high or too low temperature in the sheep house will directly threaten the healthy growth of sheep. Prediction and early warning of temperature changes is an important measure to ensure the healthy growth of sheep. Aiming at the randomness and empirical problem of parameter selection of the tradi...

Full description

Bibliographic Details
Main Authors: Dachun Feng, Bing Zhou, Shahbaz Gul Hassan, Longqin Xu, Tonglai Liu, Liang Cao, Shuangyin Liu, Jianjun Guo
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Animals
Subjects:
intensive culture
temperature prediction
XGBoost algorithm
particle swarm optimization
principal component analysis
Online Access:https://www.mdpi.com/2076-2615/12/20/2806

Similar Items

Similar Items