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Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/600
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dc.contributor.authorThakar, Pooja-
dc.contributor.authorGoel, Neetu-
dc.date.accessioned2024-09-12T05:49:51Z-
dc.date.available2024-09-12T05:49:51Z-
dc.date.issued2024-05-
dc.identifier.issn1681 8997-
dc.identifier.urihttps://zenodo.org/records/11427882-
dc.identifier.urihttp://www.eel.my100megs.com/-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/600-
dc.descriptionThe link of the article is given below.en_US
dc.description.abstractResearch in Artificial Intelligence has been enormously efficacious. It has touched almost all fields varying from machine learning to expert systems. Agriculture Technology on the other hand has also seen tremendous growth over the decades. Over the past decade, the digital revolution has penetrated agriculture to boost decision-making and productivity. Various trailblazing technologies in agriculture such as Sensors, Global Positioning Systems, Big-Data, Artificial-Intelligence, Machine-Learning, Robotics, and the Internet of Things are leading the way to improved yields, lesser costs and reduced impact on the environment. It intersects with agricultural management by addressing key challenges and opportunities related to resource allocation, operational efficiency, risk management, supply chain coordination, and decision support in modern agricultural practices. The main aim of this paper is to provide a comprehensive review of the recent developments in the field of Agriculture with the penetration of Artificial Intelligence of Things.en_US
dc.language.isoenen_US
dc.publisherEmpirical Economics Lettersen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectMachine Learningen_US
dc.title"Enhancing Agricultural Decision Support with AIoT: A Research Travelogue"en_US
dc.typeArticleen_US
Appears in Collections:VSIT

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