IoT for Development of Smart Dairy Farming

被引:0
|
作者
Akbar, Muhammad Osama [1 ]
Khan, Muhammad Saad Shahbaz [1 ]
Ali, Muhammad Jamshaid [1 ]
Hussain, Azfar [1 ]
Qaiser, Ghazia [2 ]
Pasha, Maruf [2 ]
Pasha, Urooj [3 ]
Missen, Malik Saad [4 ]
Akhtar, Nadeem [4 ]
机构
[1] Natl Coll Business Adm & Econ, Multan, Pakistan
[2] Bahauddin Zakariya Univ, Multan, Pakistan
[3] Western Norway Univ Appl Sci, Bergen, Norway
[4] Islamia Univ, Bahawalpur, Pakistan
关键词
MILK-PRODUCTION; COWS;
D O I
10.1155/2020/4242805
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Internet of things (IoT) and data-driven techniques are creating greater opportunities for smart dairy farming. The demand for milk is continuously increasing due to increasing population of the world. The consumption of the dairy products is more in developed countries as compared to developing countries. To meet this increased demand for milk products, better technological techniques for improving milk yield are required. It is expected that the use of IoT and different AI techniques can assist a farmer to overcome different traditional farming challenges and increase the milk production. In this research, the authors address different challenges that a dairy farmer has to face in daily life. Brief introduction of smart dairy farming (SDF) is presented with respect to the innovation in production and the processes of smart dairy farming. This review focuses on different aspects of smart dairy farming, and finally a state-of-the-art framework that can assist the farmers to increase the milk yield by using different latest technologies has been proposed. These technological methods can decrease the factors negatively affecting milk production and increase those positively affecting production with minimal resources.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] Survey, comparison and research challenges of IoT application protocols for smart farming
    Glaroudis, Dimitrios
    Iossifides, Athanasios
    Chatzimisios, Periklis
    [J]. COMPUTER NETWORKS, 2020, 168 (168)
  • [42] Smart Farming: An Approach for Disease Detection Implementing IoT and Image Processing
    Pang, Hui
    Zheng, Zheng
    Zhen, Tongmiao
    Sharma, Ashutosh
    [J]. INTERNATIONAL JOURNAL OF AGRICULTURAL AND ENVIRONMENTAL INFORMATION SYSTEMS, 2021, 12 (01) : 55 - 67
  • [43] A Comparative Analysis on Smart Farming Techniques using Internet of Things (IoT)
    Jacob, Pramod Mathew
    Prasanna, M.
    Sultana, Parveen H.
    [J]. HELIX, 2018, 8 (02): : 3294 - 3302
  • [44] IoT-Agro: A smart farming system to Colombian coffee farms
    Pablo Rodriguez, Jhonn
    Isabel Montoya-Munoz, Ana
    Rodriguez-Pabon, Carlos
    Hoyos, Javier
    Carlos Corrales, Juan
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2021, 190
  • [45] A Study of Irrigation Management in Smart Farming and IoT for Greenhouse Tomato Production
    Ardiansah, Irfan
    Bono, Awang
    Kastaman, Roni
    Suryadi, Edy
    Rubiyanti, Yanti
    [J]. JOURNAL OF ELECTRICAL SYSTEMS, 2024, 20 (02) : 2616 - 2630
  • [46] A Survey on Internet of Things (IoT) Applications and Challenges for Smart Healthcare and Farming
    Saini, Rakesh Kumar
    Dahiya, Anil Kumar
    Dahiya, Priyanka
    [J]. BIOSCIENCE BIOTECHNOLOGY RESEARCH COMMUNICATIONS, 2019, 12 (04): : 1194 - 1200
  • [47] An IoT Platform Based on Microservices and Serverless Paradigms for Smart Farming Purposes
    Trilles, Sergio
    Gonzalez-Perez, Alberto
    Huerta, Joaquin
    [J]. SENSORS, 2020, 20 (08)
  • [48] Smart AgrIOT : A Machine learning and IOT based complete farming solution
    Attari, Samina
    Dhatingan, Omkar
    Gupta, Ashutosh
    Alshi, Atharva
    Bais, Yashrajsingh
    [J]. 2022 IEEE 19TH INDIA COUNCIL INTERNATIONAL CONFERENCE, INDICON, 2022,
  • [49] LoRaFarM: a LoRaWAN-Based Smart Farming Modular IoT Architecture
    Codeluppi, Gaia
    Cilfone, Antonio
    Davoli, Luca
    Ferrari, Gianluigi
    [J]. SENSORS, 2020, 20 (07)
  • [50] IoT based smart agrotech system for verification of Urban farming parameters
    Podder, Amit Kumer
    Al Bukhari, Abdullah
    Islam, Sayemul
    Mia, Sujon
    Mohammed, Mazin Abed
    Kumar, Nallapaneni Manoj
    Cengiz, Korhan
    Abdulkareem, Karrar Hameed
    [J]. MICROPROCESSORS AND MICROSYSTEMS, 2021, 82