The Prediction Algorithm of Energy Consumption for Cattle GrowMh Based on Random Forest

In order to further promote the efficient and green development of livestock industry, it is an important development trend to build a smart farming system based on data mining. In this paper, fuzzy clustering and random forest prediction algorithm were introduced into the energy consumption predict...

Full description

Saved in:
Bibliographic Details
Published in2023 IEEE 3rd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA) Vol. 3; pp. 510 - 513
Main Authors Zeyi, Wang, Weihua, Zhang, Weijin, Xu, Jiajun, Zhang
Format Conference Proceeding
LanguageEnglish
Published IEEE 26.05.2023
Subjects
Clustering algorithms
Cows
Energy consumption
Growth energy consumption forecast
Intelligent breeding
Prediction algorithms
Predictive models
Random forest algorithm
Smart agriculture
Training
Online AccessGet full text

Cover

More Information
Summary:In order to further promote the efficient and green development of livestock industry, it is an important development trend to build a smart farming system based on data mining. In this paper, fuzzy clustering and random forest prediction algorithm were introduced into the energy consumption prediction of cattle growth in livestock farms. The fuzzy C-means clustering algorithm can identify the factors with high correlation according to the membership size between various variables and the growth energy consumption load. The input space is reconstructed according to the membership size of each component to reduce the input of the prediction algorithm. Then random forest artificial intelligence algorithm was used to predict the growth energy consumption of different livestock cattle. Finally, the feasibility of the proposed method is discussed with a specific example of a livestock farm.
DOI:10.1109/ICIBA56860.2023.10165031