Reshaping of the Future Farming: From Industry 4.0 Toward Agriculture 4.0

Bushara Ali; Ahmad Zakeri; Anamarija Llieva; Oliver Iliev

doi:doi:10.11648/j.ajasr.20230902.14

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Reshaping of the Future Farming: From Industry 4.0 Toward Agriculture 4.0

Bushara Ali, Ahmad Zakeri, Anamarija Llieva, Oliver Iliev

Published in American Journal of Applied Scientific Research (Volume 9, Issue 2)

Received: 22 December 2022 Accepted: 25 January 2023 Published: 10 June 2023

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Abstract

Contemporary agriculture faces many challenges, most notably the large and continuous increase in population numbers, which requires the greater provision of agricultural products to meet people's need for food. There are also other challenges such as global climate change, which has recently increased inefficiency due to droughts, desertification, irrigation water decreasing, increased soil contamination, plant diseases, heat waves, floods, and water salinity, causing many agricultural problems. The agricultural industry needs to invest in new techniques and infrastructure that enable it to transform into a smart industry capable of responding to these challenges through lean operations supported by industrial digital technologies (IDTs) to maintain efficiency, sustainability, and quality. The industry 4.0 strategy has been widely adopted by the manufacturing industry, enabling the manufacturing sector to achieve the enhanced optimization, efficiency, responsiveness, and autonomy premises of the digitalization strategy. This paper discusses the digitization of agriculture "from industry 4.0 towards agriculture 4.0," which relies on Internet of Things (IoT) technologies, artificial neural networks (ANN), AI, and fuzzy logic to make a quantum leap, in the future of agriculture sector. Internet of Things devices collect data from the devices or sensors, analyse, process, and transfer it, in addition to making the right decisions, without human intervention. IOT also provides the basic communications infrastructure that is used to connect smart devices, sensors, and UAVs to mobile devices by using the Internet. These processes will lead to many services, such as collecting and analysing the information, pattern recognition, and independent decision-making based on artificial intelligence added to the current agricultural automation. These technologies will lead to a revolution in the field of agriculture, which is probably one of the most inefficient sectors today.

Published in	American Journal of Applied Scientific Research (Volume 9, Issue 2)
DOI	10.11648/j.ajasr.20230902.14
Page(s)	62-71
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Smart Farming, Agriculture 4.0, Industry 4.0, Artificial Intelligence, Fuzzy Control, Internet of Things (IOT), Unmanned Aerial Vehicles (UAV)

References

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APA Style

Bushara Ali, Ahmad Zakeri, Anamarija Llieva, Oliver Iliev. (2023). Reshaping of the Future Farming: From Industry 4.0 Toward Agriculture 4.0. American Journal of Applied Scientific Research, 9(2), 62-71. https://doi.org/10.11648/j.ajasr.20230902.14

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ACS Style

Bushara Ali; Ahmad Zakeri; Anamarija Llieva; Oliver Iliev. Reshaping of the Future Farming: From Industry 4.0 Toward Agriculture 4.0. Am. J. Appl. Sci. Res. 2023, 9(2), 62-71. doi: 10.11648/j.ajasr.20230902.14

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AMA Style

Bushara Ali, Ahmad Zakeri, Anamarija Llieva, Oliver Iliev. Reshaping of the Future Farming: From Industry 4.0 Toward Agriculture 4.0. Am J Appl Sci Res. 2023;9(2):62-71. doi: 10.11648/j.ajasr.20230902.14

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@article{10.11648/j.ajasr.20230902.14,
  author = {Bushara Ali and Ahmad Zakeri and Anamarija Llieva and Oliver Iliev},
  title = {Reshaping of the Future Farming: From Industry 4.0 Toward Agriculture 4.0},
  journal = {American Journal of Applied Scientific Research},
  volume = {9},
  number = {2},
  pages = {62-71},
  doi = {10.11648/j.ajasr.20230902.14},
  url = {https://doi.org/10.11648/j.ajasr.20230902.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajasr.20230902.14},
  abstract = {Contemporary agriculture faces many challenges, most notably the large and continuous increase in population numbers, which requires the greater provision of agricultural products to meet people's need for food. There are also other challenges such as global climate change, which has recently increased inefficiency due to droughts, desertification, irrigation water decreasing, increased soil contamination, plant diseases, heat waves, floods, and water salinity, causing many agricultural problems. The agricultural industry needs to invest in new techniques and infrastructure that enable it to transform into a smart industry capable of responding to these challenges through lean operations supported by industrial digital technologies (IDTs) to maintain efficiency, sustainability, and quality. The industry 4.0 strategy has been widely adopted by the manufacturing industry, enabling the manufacturing sector to achieve the enhanced optimization, efficiency, responsiveness, and autonomy premises of the digitalization strategy. This paper discusses the digitization of agriculture "from industry 4.0 towards agriculture 4.0," which relies on Internet of Things (IoT) technologies, artificial neural networks (ANN), AI, and fuzzy logic to make a quantum leap, in the future of agriculture sector. Internet of Things devices collect data from the devices or sensors, analyse, process, and transfer it, in addition to making the right decisions, without human intervention. IOT also provides the basic communications infrastructure that is used to connect smart devices, sensors, and UAVs to mobile devices by using the Internet. These processes will lead to many services, such as collecting and analysing the information, pattern recognition, and independent decision-making based on artificial intelligence added to the current agricultural automation. These technologies will lead to a revolution in the field of agriculture, which is probably one of the most inefficient sectors today.},
 year = {2023}
}

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TY  - JOUR
T1  - Reshaping of the Future Farming: From Industry 4.0 Toward Agriculture 4.0
AU  - Bushara Ali
AU  - Ahmad Zakeri
AU  - Anamarija Llieva
AU  - Oliver Iliev
Y1  - 2023/06/10
PY  - 2023
N1  - https://doi.org/10.11648/j.ajasr.20230902.14
DO  - 10.11648/j.ajasr.20230902.14
T2  - American Journal of Applied Scientific Research
JF  - American Journal of Applied Scientific Research
JO  - American Journal of Applied Scientific Research
SP  - 62
EP  - 71
PB  - Science Publishing Group
SN  - 2471-9730
UR  - https://doi.org/10.11648/j.ajasr.20230902.14
AB  - Contemporary agriculture faces many challenges, most notably the large and continuous increase in population numbers, which requires the greater provision of agricultural products to meet people's need for food. There are also other challenges such as global climate change, which has recently increased inefficiency due to droughts, desertification, irrigation water decreasing, increased soil contamination, plant diseases, heat waves, floods, and water salinity, causing many agricultural problems. The agricultural industry needs to invest in new techniques and infrastructure that enable it to transform into a smart industry capable of responding to these challenges through lean operations supported by industrial digital technologies (IDTs) to maintain efficiency, sustainability, and quality. The industry 4.0 strategy has been widely adopted by the manufacturing industry, enabling the manufacturing sector to achieve the enhanced optimization, efficiency, responsiveness, and autonomy premises of the digitalization strategy. This paper discusses the digitization of agriculture "from industry 4.0 towards agriculture 4.0," which relies on Internet of Things (IoT) technologies, artificial neural networks (ANN), AI, and fuzzy logic to make a quantum leap, in the future of agriculture sector. Internet of Things devices collect data from the devices or sensors, analyse, process, and transfer it, in addition to making the right decisions, without human intervention. IOT also provides the basic communications infrastructure that is used to connect smart devices, sensors, and UAVs to mobile devices by using the Internet. These processes will lead to many services, such as collecting and analysing the information, pattern recognition, and independent decision-making based on artificial intelligence added to the current agricultural automation. These technologies will lead to a revolution in the field of agriculture, which is probably one of the most inefficient sectors today.
VL  - 9
IS  - 2
ER  -

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Author Information

Bushara Ali

School of Engineering, University of Wolverhampton, Telford, United Kingdom
Ahmad Zakeri

School of Engineering, University of Wolverhampton, Telford, United Kingdom
Anamarija Llieva

Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University in Skopje, Skopje, Republic of Macedonia
Oliver Iliev

Faculty of Information and Communication Technologies, FON University, Skopje, Republic of Macedonia

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APA Style

Bushara Ali, Ahmad Zakeri, Anamarija Llieva, Oliver Iliev. (2023). Reshaping of the Future Farming: From Industry 4.0 Toward Agriculture 4.0. American Journal of Applied Scientific Research, 9(2), 62-71. https://doi.org/10.11648/j.ajasr.20230902.14

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ACS Style

Bushara Ali; Ahmad Zakeri; Anamarija Llieva; Oliver Iliev. Reshaping of the Future Farming: From Industry 4.0 Toward Agriculture 4.0. Am. J. Appl. Sci. Res. 2023, 9(2), 62-71. doi: 10.11648/j.ajasr.20230902.14

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AMA Style

Bushara Ali, Ahmad Zakeri, Anamarija Llieva, Oliver Iliev. Reshaping of the Future Farming: From Industry 4.0 Toward Agriculture 4.0. Am J Appl Sci Res. 2023;9(2):62-71. doi: 10.11648/j.ajasr.20230902.14

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@article{10.11648/j.ajasr.20230902.14,
  author = {Bushara Ali and Ahmad Zakeri and Anamarija Llieva and Oliver Iliev},
  title = {Reshaping of the Future Farming: From Industry 4.0 Toward Agriculture 4.0},
  journal = {American Journal of Applied Scientific Research},
  volume = {9},
  number = {2},
  pages = {62-71},
  doi = {10.11648/j.ajasr.20230902.14},
  url = {https://doi.org/10.11648/j.ajasr.20230902.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajasr.20230902.14},
  abstract = {Contemporary agriculture faces many challenges, most notably the large and continuous increase in population numbers, which requires the greater provision of agricultural products to meet people's need for food. There are also other challenges such as global climate change, which has recently increased inefficiency due to droughts, desertification, irrigation water decreasing, increased soil contamination, plant diseases, heat waves, floods, and water salinity, causing many agricultural problems. The agricultural industry needs to invest in new techniques and infrastructure that enable it to transform into a smart industry capable of responding to these challenges through lean operations supported by industrial digital technologies (IDTs) to maintain efficiency, sustainability, and quality. The industry 4.0 strategy has been widely adopted by the manufacturing industry, enabling the manufacturing sector to achieve the enhanced optimization, efficiency, responsiveness, and autonomy premises of the digitalization strategy. This paper discusses the digitization of agriculture "from industry 4.0 towards agriculture 4.0," which relies on Internet of Things (IoT) technologies, artificial neural networks (ANN), AI, and fuzzy logic to make a quantum leap, in the future of agriculture sector. Internet of Things devices collect data from the devices or sensors, analyse, process, and transfer it, in addition to making the right decisions, without human intervention. IOT also provides the basic communications infrastructure that is used to connect smart devices, sensors, and UAVs to mobile devices by using the Internet. These processes will lead to many services, such as collecting and analysing the information, pattern recognition, and independent decision-making based on artificial intelligence added to the current agricultural automation. These technologies will lead to a revolution in the field of agriculture, which is probably one of the most inefficient sectors today.},
 year = {2023}
}

Copy | Download

TY  - JOUR
T1  - Reshaping of the Future Farming: From Industry 4.0 Toward Agriculture 4.0
AU  - Bushara Ali
AU  - Ahmad Zakeri
AU  - Anamarija Llieva
AU  - Oliver Iliev
Y1  - 2023/06/10
PY  - 2023
N1  - https://doi.org/10.11648/j.ajasr.20230902.14
DO  - 10.11648/j.ajasr.20230902.14
T2  - American Journal of Applied Scientific Research
JF  - American Journal of Applied Scientific Research
JO  - American Journal of Applied Scientific Research
SP  - 62
EP  - 71
PB  - Science Publishing Group
SN  - 2471-9730
UR  - https://doi.org/10.11648/j.ajasr.20230902.14
AB  - Contemporary agriculture faces many challenges, most notably the large and continuous increase in population numbers, which requires the greater provision of agricultural products to meet people's need for food. There are also other challenges such as global climate change, which has recently increased inefficiency due to droughts, desertification, irrigation water decreasing, increased soil contamination, plant diseases, heat waves, floods, and water salinity, causing many agricultural problems. The agricultural industry needs to invest in new techniques and infrastructure that enable it to transform into a smart industry capable of responding to these challenges through lean operations supported by industrial digital technologies (IDTs) to maintain efficiency, sustainability, and quality. The industry 4.0 strategy has been widely adopted by the manufacturing industry, enabling the manufacturing sector to achieve the enhanced optimization, efficiency, responsiveness, and autonomy premises of the digitalization strategy. This paper discusses the digitization of agriculture "from industry 4.0 towards agriculture 4.0," which relies on Internet of Things (IoT) technologies, artificial neural networks (ANN), AI, and fuzzy logic to make a quantum leap, in the future of agriculture sector. Internet of Things devices collect data from the devices or sensors, analyse, process, and transfer it, in addition to making the right decisions, without human intervention. IOT also provides the basic communications infrastructure that is used to connect smart devices, sensors, and UAVs to mobile devices by using the Internet. These processes will lead to many services, such as collecting and analysing the information, pattern recognition, and independent decision-making based on artificial intelligence added to the current agricultural automation. These technologies will lead to a revolution in the field of agriculture, which is probably one of the most inefficient sectors today.
VL  - 9
IS  - 2
ER  -

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