Agricultural robotics research applicable to poultry production: A review

被引:86
|
作者
Ren, Guoqiang [1 ,2 ,3 ]
Lin, Tao [1 ,3 ]
Ying, Yibin [1 ,3 ,4 ]
Chowdhary, Girish [5 ]
Ting, K. C. [1 ,2 ,3 ,5 ]
机构
[1] Zhejiang Univ, Coll Biosyst Engn & Food Sci, Hangzhou, Zhejiang, Peoples R China
[2] Zhejiang Univ, ZJU UIUC Inst, Int Campus, Haining, Zhejiang, Peoples R China
[3] Minist Agr & Rural Affairs, Key Lab Site Proc Equipment Agr Prod, Beijing, Peoples R China
[4] Zhejiang A&F Univ, Fac Agr & Food Sci, Hangzhou, Zhejiang, Peoples R China
[5] Univ Illinois, Dept Agr & Biol Engn, Urbana, IL USA
关键词
Agricultural robotics; Precision livestock farming; Poultry production systems; Machine capabilities; System integration; WIRELESS SENSOR NETWORKS; FASTER R-CNN; OF-THE-ART; LAYING HENS; BROILER-CHICKENS; MACHINE VISION; PERFORMANCE EVALUATION; COMPUTER VISION; SYSTEM; LOCALIZATION;
D O I
10.1016/j.compag.2020.105216
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
The advent of agricultural robotics research worldwide has brought substantial improvement for various applications. This article provides a comprehensive review of published research and development work, emphasizing robotics enabling machine capabilities. These machine capabilities of perception, reasoning and learning, communication, task planning and execution, and systems integration have opened possibilities for intelligent automation of current and future agricultural operations, including precision livestock farming. We have focused on the Agricultural Intelligent Automation Systems which have a high potential to be applied to agricultural production and processing, especially with applicability to poultry production. Most of the published work on agricultural robotics has been in the areas of perception and reasoning. The emphases have been in the identification of objects, evaluation of product quality, monitoring of plant and animal growth and development, yield prediction, and machine guidance. There has been limited published work on the task execution and systems integration aspects of agricultural robotics. Moreover, we have reviewed agricultural robotics research from 24 universities worldwide. Agricultural robots can be divided into three categories (monitor, harvester, and both) according to various functions. Several tables are presented to summarize the information on the key subject areas reviewed in this article. We have found that there are still many challenges that need to be addressed in robotizing agricultural tasks in general and in poultry production specifically. The most common challenges in robotics applications have been developing robots for specific agricultural tasks. Examples in poultry production include monitoring environmental conditions and chicken health, egg picking, and encouraging chicken movement. The approaches to addressing the technical needs have been creating intelligent movable machines for use alongside the chickens in poultry house. The most noticeable results include Octopus Poultry Safe (OPS) robot for sanitizing poultry houses autonomously, PoultryBot for picking floor eggs, and Spoutnic for training hens to move. This trend of research and development is expected to continue. An emerging research emphasis is systems approach to study the interactions of automated tasks to achieve high efficiency in whole poultry house management.
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页数:14
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