Artificial Intelligence and IoT based Monitoring of Poultry Health: A Review

被引:12
|
作者
Singh, Maninder [1 ]
Kumar, Rajeev [1 ]
Tandon, Dinesh [2 ]
Sood, Pallavi [2 ]
Sharma, Manish [1 ]
机构
[1] Chitkara Univ, Inst Engn & Technol, Chandigarh, Punjab, India
[2] Chitkara Univ, Chitkara Business Sch, Chandigarh, Punjab, India
关键词
Artificial Intelligence (AI); Internet of Things (IoT); Poultry farms; Sensors; Machine learning; Big data;
D O I
10.1109/Comnetsat50391.2020.9328930
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a comprehensive review of poultry health monitoring using Internet of Things (IoT) platform employing Artificial Intelligence (AI) techniques is presented. For monitoring the poultry farm and bird health, the IoT devices employing different types of sensors video/image processing and classification capabilities, along with vocalization (sound) based Poultry livestock analysis is being studied. Availability of growingly inexpensive computational resources, IoT devices, and standard algorithms, has made a strong case to employ modern day technology to continuously monitor the large farms with millions of birds and improve the overall productivity. As eggs and poultry are biggest source of protein intake, the advance technological solutions for poultry farm management should be employed on priority basis.
引用
收藏
页码:50 / 54
页数:5
相关论文
共 50 条
  • [21] AGRIBOT: Energetic Agricultural Field Monitoring Robot Based on IoT Enabled Artificial Intelligence Logic
    Loganathan, Ganesh Babu
    Mahdi, Qaysar Salih
    Saleh, Idris Hadi
    Othman, Mohammad Mustafa
    [J]. EMERGING TECHNOLOGY TRENDS IN INTERNET OF THINGS AND COMPUTING, TIOTC 2021, 2022, : 16 - 30
  • [22] An Artificial Intelligence Based Forecasting in Smart Parking with IoT
    Fedchenkov, Petr
    Anagnostopoulos, Theodoros
    Zaslavsky, Arkady
    Ntalianis, Klimis
    Sosunova, Inna
    Sadov, Oleg
    [J]. INTERNET OF THINGS, SMART SPACES, AND NEXT GENERATION NETWORKS AND SYSTEMS, NEW2AN 2018, 2018, 11118 : 33 - 40
  • [23] Survey of Artificial Intelligence Based IoT Malware Detection
    Liu, Qixu
    Liu, Jiaxi
    Jin, Ze
    Liu, Xinyu
    Xiao, Juxin
    Chen, Yanhui
    Zhu, Hongwen
    Tan, Yaokang
    [J]. Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 2023, 60 (10): : 2234 - 2254
  • [24] Artificial intelligence and IoT driven technologies for environmental pollution monitoring and management
    Popescu, Simona Mariana
    Mansoor, Sheikh
    Wani, Owais Ali
    Kumar, Shamal Shasang
    Sharma, Vikas
    Sharma, Arpita
    Arya, Vivak M.
    Kirkham, M. B.
    Hou, Deyi
    Bolan, Nanthi
    Chung, Yong Suk
    [J]. FRONTIERS IN ENVIRONMENTAL SCIENCE, 2024, 12
  • [25] Trustworthiness in Industrial IoT Systems Based on Artificial Intelligence
    Lv, Zhihan
    Han, Yang
    Singh, Amit Kumar
    Manogaran, Gunasekaran
    Lv, Haibin
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 17 (02) : 1496 - 1504
  • [26] IoT and artificial intelligence implementations for remote healthcare monitoring systems: A survey
    Alshamrani, Mazin
    [J]. JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2022, 34 (08) : 4687 - 4701
  • [27] IOT BASED HEALTH MONITORING SYSTEM USING RASPBERRY PI - REVIEW
    Rohit, Sunilkumar Laxmanbhai
    Tank, Bharat V.
    [J]. PROCEEDINGS OF THE 2018 SECOND INTERNATIONAL CONFERENCE ON INVENTIVE COMMUNICATION AND COMPUTATIONAL TECHNOLOGIES (ICICCT), 2018, : 997 - 1002
  • [28] Artificial intelligence for IoT systems
    Muñoz, Andrés
    Augusto, Juan Carlos
    Tam, Vincent
    Aghajan, Hamid
    [J]. Journal of Ambient Intelligence and Smart Environments, 2020, 12 (01):
  • [29] Artificial intelligence for IoT systems
    Munoz, Andres
    Augusto, Juan Carlos
    Tam, Vincent
    Aghajan, Hamid
    [J]. JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS, 2020, 12 (01) : 1 - 1
  • [30] AI-CardioCare: Artificial Intelligence Based Device for Cardiac Health Monitoring
    Joshi, Rakesh Chandra
    Khan, Juwairiya Siraj
    Pathak, Vinay Kumar
    Dutta, Malay Kishore
    [J]. IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 2022, 52 (06) : 1292 - 1302