Advances in Sensors, Big Data and Machine Learning in Intelligent Animal Farming

Format:

Book

Author/Creator:

Qiao, Yongliang, Editor.

Contributor:

Chai, Lilong, Editor.

He, Dongjian, Editor.

Su, Daobilige, Editor.

Qiao, Yongliang

Chai, Lilong

He, Dongjian

Su, Daobilige

Language:

English

Physical Description:

1 online resource (228 p.)

Place of Publication:

Basel MDPI - Multidisciplinary Digital Publishing Institute 2022

Language Note:

English

Summary:

Animal production (e.g., milk, meat, and eggs) provides valuable protein production for human beings and animals. However, animal production is facing several challenges worldwide such as environmental impacts and animal welfare/health concerns. In animal farming operations, accurate and efficient monitoring of animal information and behavior can help analyze the health and welfare status of animals and identify sick or abnormal individuals at an early stage to reduce economic losses and protect animal welfare. In recent years, there has been growing interest in animal welfare. At present, sensors, big data, machine learning, and artificial intelligence are used to improve management efficiency, reduce production costs, and enhance animal welfare. Although these technologies still have challenges and limitations, the application and exploration of these technologies in animal farms will greatly promote the intelligent management of farms. Therefore, this Special Issue will collect original papers with novel contributions based on technologies such as sensors, big data, machine learning, and artificial intelligence to study animal behavior monitoring and recognition, environmental monitoring, health evaluation, etc., to promote intelligent and accurate animal farm management.

Access Restriction:

Open Access Unrestricted online access