Adaption of smart applications in agriculture to enhance production

Food security has grown into a serious concern in all countries around the globe due to the growing population, the depletion of renewable resources, the loss of agricultural farmlands, as well as the rise in uncertain weather conditions. Due to these issues, the agricultural sector is moving toward...

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Main Authors: Subhrajit Mandal, Anamika Yadav, Florence A. Panme, Kshetrimayum Monika Devi, Shravan Kumar S.M.
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Smart Agricultural Technology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375524000364
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author Subhrajit Mandal
Anamika Yadav
Florence A. Panme
Kshetrimayum Monika Devi
Shravan Kumar S.M.
author_facet Subhrajit Mandal
Anamika Yadav
Florence A. Panme
Kshetrimayum Monika Devi
Shravan Kumar S.M.
author_sort Subhrajit Mandal
collection DOAJ
description Food security has grown into a serious concern in all countries around the globe due to the growing population, the depletion of renewable resources, the loss of agricultural farmlands, as well as the rise in uncertain weather conditions. Due to these issues, the agricultural sector is moving towards “smart agriculture,” which utilises the Internet of Things (IoT) and artificial intelligence (AI) to optimise operations and increase production. Several innovative technologies and approaches are integrated into the IoT and AI, including large amounts of data, sensing technology, networking, cloud computing, and apps for end-users. The objective of this study is to examine current developments in smart applications utilizing the IoT and AI technology for smart agriculture. It also highlights the open problems and difficulties associated with smart applications in smart agriculture, as well as the trends and prospects in this field. Furthermore, this study will help to determine how IoT and AI applications may be incorporated into the smart agricultural industry. The results of this study will serve as valuable information for future research and development of IoT and AI solutions to raise the quality standards and profitability of the agriculture industry. Smart application techniques would provide quick and safe large-scale classification with the benefits of immediate availability of data, adaptability, ease of operations, and precise spatial resolution to increase production and require the least amount of energy and time.
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spelling doaj.art-66db0c7fecab4294a2aa3ba6242d43892024-03-25T04:18:20ZengElsevierSmart Agricultural Technology2772-37552024-03-017100431Adaption of smart applications in agriculture to enhance productionSubhrajit Mandal0Anamika Yadav1Florence A. Panme2Kshetrimayum Monika Devi3Shravan Kumar S.M.4Department of Agricultural Engineering, Triguna Sen School of Technology, Assam University, Silchar- 788011, Assam, IndiaDepartment of Agricultural Engineering, Triguna Sen School of Technology, Assam University, Silchar- 788011, Assam, India; Corresponding author.Department of Agricultural Engineering, Triguna Sen School of Technology, Assam University, Silchar- 788011, Assam, IndiaDepartment of Agricultural Engineering, Triguna Sen School of Technology, Assam University, Silchar- 788011, Assam, IndiaDepartment of Civil Engineering, Shreenidhi institute of Technology, Hyedrabad-500029, Telengana, IndiaFood security has grown into a serious concern in all countries around the globe due to the growing population, the depletion of renewable resources, the loss of agricultural farmlands, as well as the rise in uncertain weather conditions. Due to these issues, the agricultural sector is moving towards “smart agriculture,” which utilises the Internet of Things (IoT) and artificial intelligence (AI) to optimise operations and increase production. Several innovative technologies and approaches are integrated into the IoT and AI, including large amounts of data, sensing technology, networking, cloud computing, and apps for end-users. The objective of this study is to examine current developments in smart applications utilizing the IoT and AI technology for smart agriculture. It also highlights the open problems and difficulties associated with smart applications in smart agriculture, as well as the trends and prospects in this field. Furthermore, this study will help to determine how IoT and AI applications may be incorporated into the smart agricultural industry. The results of this study will serve as valuable information for future research and development of IoT and AI solutions to raise the quality standards and profitability of the agriculture industry. Smart application techniques would provide quick and safe large-scale classification with the benefits of immediate availability of data, adaptability, ease of operations, and precise spatial resolution to increase production and require the least amount of energy and time.http://www.sciencedirect.com/science/article/pii/S2772375524000364AutomationInternet of ThingsArtificial intelligenceSmart agricultureSustainable production
spellingShingle Subhrajit Mandal
Anamika Yadav
Florence A. Panme
Kshetrimayum Monika Devi
Shravan Kumar S.M.
Adaption of smart applications in agriculture to enhance production
Smart Agricultural Technology
Automation
Internet of Things
Artificial intelligence
Smart agriculture
Sustainable production
title Adaption of smart applications in agriculture to enhance production
title_full Adaption of smart applications in agriculture to enhance production
title_fullStr Adaption of smart applications in agriculture to enhance production
title_full_unstemmed Adaption of smart applications in agriculture to enhance production
title_short Adaption of smart applications in agriculture to enhance production
title_sort adaption of smart applications in agriculture to enhance production
topic Automation
Internet of Things
Artificial intelligence
Smart agriculture
Sustainable production
url http://www.sciencedirect.com/science/article/pii/S2772375524000364
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