تعداد نشریات | 31 |
تعداد شمارهها | 748 |
تعداد مقالات | 7,112 |
تعداد مشاهده مقاله | 10,245,893 |
تعداد دریافت فایل اصل مقاله | 6,899,551 |
Implementation of technology and information systems (IOT) to support sustainable livestock development: Future challenges and perspectives | ||
Caspian Journal of Environmental Sciences | ||
دوره 21، شماره 2، تیر 2023، صفحه 457-465 اصل مقاله (765.97 K) | ||
نوع مقاله: Reviewers | ||
شناسه دیجیتال (DOI): 10.22124/cjes.2023.6540 | ||
نویسندگان | ||
Neni Widaningsih* 1؛ Budi Hartono2؛ Hari Dwi Utami2؛ Eni Siti Rohaeni3 | ||
1Department of Animal Husbandry, University of Islam Kalimantan MAB Banjarmasin, South Kalimantan, Indonesia | ||
2Faculty of Animal Science, University of Brawijaya, Malang, East Java, Indonesia | ||
3Research Center for Animal Husbandry, Research Organization for Agriculture and Food, National Research and Innovation Agency, Cibinong Science Center, Indonesia | ||
چکیده | ||
The purpose of this study was to provide a comprehensive understanding of the implementation of technology and information systems to realize sustainable livestock development through Precision Livestock Farming (PLF) and the Internet of Things (IoT). The literature study method was used in this study to search electronic data in order to write a collection of journals, publications, books, and websites, then analyze various kinds of literature that combines, among others, coding framework, in-depth assessment, and conclusions. We used a phenomenological approach, by trying to get the widest possible data, then trying to get a deep understanding, so that it becomes a valid and convincing finding. Sources of literature information used were various data published from 2005 to 2021 using the Google search application to find information using keywords such as Precision Livestock Farming (PLF), Internet of Things (IoT), sustainable livestock, creativity, innovation, and some which were related to this study. The results of this study indicated that digital technologies such as PLF and IoT can develop sustainable agriculture and animal husbandry. Management automation in livestock business with the application of these technologies can increase the capacity of livestock production systems. | ||
کلیدواژهها | ||
Digital technology؛ Precision livestock farming (PLF)؛ Internet of things (IoT) | ||
مراجع | ||
Astill, J, Dara, RA, Fraser, EDG, Roberts, B & Sharif, S 2020, Smart poultry management: Smart sensors, big data, and the internet of things. Computers and Electronics in Agriculture, 170: 105291.
Berckmans, D 2017, General introduction to precision livestock farming. Animal Frontiers, 7: 6–11.
Bing, F 2016, The research of IOT of agriculture based on three layers architecture. 2nd International Conference on Cloud Computing and Internet of Things (CCIOT), 162–165.
Bustamante, E, Guijarro, E, García Diego, FJ, Balasch, S, Hospitaler, A & Torres, AG 2012, Multisensor system for isotemporal measurements to assess indoor climatic conditions in poultry farms. Sensors, 12: 5752-5774.
Calvet, S, Campelo, JC, Estellés, F, Perles, A, Mercado, R & Serrano, JJ 2014, Suitability evaluation of multipoint simultaneous CO2 sampling wireless sensors for livestock buildings. Sensors, 14: 10479-10496.
Chen, L & Neethirajan, S 2015, A homogenous fluorescence quenching based assay for specific and sensitive detection of influenza virus A hemagglutinin antigen. Sensors, 15: 8852-8865.
Colles, FM, Cain, RJ, Nickson, T, Smith, AL, Roberts, SJ, Maiden, MCJ, Lunn, D & Dawkins, MS 2016, Monitoring chicken flock behaviour provides early warning of infection by human pathogen Campylobacter. Proceedings of the Royal Society B: Biological Sciences, 283: 20152323.
David, B, Mejdell, C, Michel, V, Lund, V & Oppermann Moe, R 2015, Air quality in alternative housing systems may have an impact on laying hen welfare. Part II—Ammonia. Animals, 5: 886-896.
Fontana, I, Tullo, E, Butterworth, A & Guarino, M 2015, An innovative approach to predict the growth in intensive poultry farming. Computers and Electronics in Agriculture, 119: 178-183.
Galli, R, Preusse, G, Uckermann, O, Bartels, T, Krautwald Junghanns, ME, Koch, E & Steiner, G 2016, In-ovo sexing of domestic chicken eggs by Raman spectroscopy. Analytical Chemistry, 88: 8657–8663.
Hadinia, SH, Carneiro, PRO, Ouellette, CA & Zuidhof, MJ 2018, Energy partitioning by broiler breeder pullets in skip-a-day and precision feeding systems. Poultry Science, 97: 4279–4289.
Hrustek, L 2020, Sustainability driven by agriculture through digital transformation. Sustainability, 12: 8596.
Indonesia, KPR 2014, Food outlook analysis 2015-2019. Summary Report, Center for Domestic Trade Policy. Ministry of Trade's Trade Policy Review and Development Agency, Indonesia.
Jayatun, A 2016, Automatic chicken feed system with renewable energy. ReTII, Indonesia.
Jung, J, Maeda, M, Chang, A, Bhandari, M, Ashapure, A & Landivar Bowles, J 2021, The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems. Current Opinion in Biotechnology, 70: 15-22.
Kurnia, D & Widiasih, V 2019, Implementation of Nodemcu in web-based automated and precision chicken feeding system prototypes. Technology Journal, 11: 169–178.
Kurniawan, C & Huda, M 2018, Design of a farm feeding system with a smartphone for Arduino Uno microcontroller-based layers, Indonesia.
Luka, G, Ahmadi, A, Najjaran, H, Alocilja, E, DeRosa, M, Wolthers, K, Malki, A, Aziz, H, Althani, A & Hoorfar, M 2015, Microfluidics integrated biosensors: A leading technology towards lab-on-a-chip and sensing applications. Sensors, 15: 30011-30031.
Manteuffel, G, Puppe, B & Schön, PC 2004, Vocalization of farm animals as a measure of welfare. Applied Animal Behaviour Science, 88: 163-182.
McDougal, T 2018, Poultry World - French poultry robot up and running. https://www.poultryworld.net/ Meat/Articles/2018/1/Frenchpoultry-robot-up-and-running-231202E/
Morgan, J 2014, A simple explanation of the internet of things’. Retrieved November 20, 2015.
Nääs, IA Garcia, RG & Caldara, FR 2020, Infrared thermal image for assessing animal health and welfare. Journal of Animal Behaviour and Biometeorology, 2: 66-72.
Niknejad, N, Ismail, W, Bahari, M, Hendradi, R & Salleh, AZ 2021, Mapping the research trends on blockchain technology in food and agriculture industry: A bibliometric analysis. Environmental Technology & Innovation, 21: 101272.
Okada, H, Suzuki, K, Kenji, T & Itoh, T 2014, Applicability of wireless activity sensor network to avian influenza monitoring system in poultry farms. Journal of Sensor Technology. Vol. 4, No. 1, DOI: 10.4236/jst.2014.41003
Ozdogan, B, Gacar, A & Aktas, H 2017, Digital agriculture practices in the context of agriculture 4.0. Journal of Economics Finance and Accounting, 4: 186-193.
Ridhamuttaqin, A 2013, Design of fuzzy logic control based automatic chicken feeding system model. Electrician, 7: 125-137.
Rosyidah, M, Andiyan, A, Listyorini, H, Prayitno, PH, Yuswardi, Y & Yuhanah, Y 2022, LCA methodology for detecting environmental impacts on natural gas drilling process. IOP Conference Series: Earth and Environmental Science, 1041: 12035. https://doi.org/10.1088/1755-1315/1041/1/012035
Rosyidah, M, Khoirunnisa, N, Rofiatin, U, Asnah, A, Andiyan, A & Sari, D 2022, Measurement of key performance indicator Green Supply Chain Management (GSCM) in palm industry with green SCOR model. Materials Today: Proceedings.
Schepers, J, Shanahan, J & Liuchiari, A 2019, Precision agriculture for sustainability. Biological Resource Management Connecting Science and Policy, DOI: 10.1007/978-3-662-04033-1_10
Shinder, D, Rusal, M, Giloh, M & Yahav, S 2009, Effect of repetitive acute cold exposures during the last phase of broiler embryogenesis on cold resistance through the life span. Poultry Science, 88: 636-646.
Sidik, MA, Negara, TP & Zuraiyah, TA 2017, Sms Gateway Based Fish Feeding Tool Automation Model. Journal of Feeding Tool Based on Sms Gateway.
Silvera, AM, Knowles, TG, Butterworth, A, Berckmans, D, Vranken, E & Blokhuis, HJ 2017, Lameness assessment with automatic monitoring of activity in commercial broiler flocks. Poultry Science, 96: 2013-2017.
Smith, D, Lyle, S, Berry, A, Manning, N, Zaki, M & Neely, A 2015, Internet of animal health things opportunities and challenges data and analytics. Internet of Animal Health Things.
Sulandjari, K, Putra, A, Sulaminingsih, S, Adi Cakranegara, P, Yusroni, N & Andiyan, A 2022, Agricultural extension in the context of the Covid-19 pandemic: Issues and challenges in the field. Caspian Journal of Environmental Sciences, 20: 137-143. https://doi.org/10.22124/cjes.2022.5408
Sungkawaningrum, F, Hartono, S, Holle, MH, Gustiawan, W, Siskawati, E, Hasanah, N & Andiyan, A 2022, Determinants of Community Decisions To Lend Money To Loaners. International Journal of Professional Business Review, 7: e0510–e0510.
Thirumalaisamy, G, Muralidharan, J, Senthilkumar, S, Hema Sayee, R & Priyadharsini, M 2016, Cost-effective feeding of poultry. International Journal of Science, Environment and Technology, 5: 3997-4005.
Verdouw, C, Wolfert, S, Beers, G, Sundmaeker, H & Chatzikostas, G 2017, IOF 2020: Fostering business and software ecosystems for large-scale uptake of IoT in food and farming. The International Tri-Conference for Precision Agriculture.
Vernooij, A, Masaki, MN & Meijer Willems, D 2018, Regionalisation in poultry development in Eastern Africa (No. 1121). Wageningen Livestock Research. https://library.wur.nl/WebQuery/wurpubs/541134.
Wisjhnuadji, TW & Narendro, A 2017, Automatic chicken feed dispenser based on atmega microcontroller. 8535. Semnasteknomedia Online, 5: 2–7.
Wolfert, S, Ge, L, Verdouw, C & Bogaardt, MJ 2017, Big data in smart farming–a review. Agricultural Systems, 153: 69-80.
Yuda, AK 2016, Automatic Chicken Feeding and Drinking Equipment in Closed System Chicken Cage Based on RTC DS1307. Final Project, Faculty of Electrical Engineering, Padang State Polytechnic, Padang, Indonesia.
Zewge, A & Dittrich, Y 2017, Systematic mapping study of information technology for development in agriculture (the case of developing countries). The Electronic Journal of Information Systems in Developing Countries, 82: 1-25. | ||
آمار تعداد مشاهده مقاله: 733 تعداد دریافت فایل اصل مقاله: 476 |