Recent Scope for AI in the Food Production Industry Leading to the Fourth Industrial Revolution

Babu Loganathan, Ganesh (2021) Recent Scope for AI in the Food Production Industry Leading to the Fourth Industrial Revolution. Webology, 18 (2). pp. 1066-1080.

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Abstract

In today's situation, Artificial intelligence and computer vision collectively join together to analyze the big data obtained from predicted models. The role of AI in the agri-based food industry helps the stakeholders to access and monitor the supply chain. The phenomenon of applying AI and computer vision in the food industry would improve the entire operations. This research paper tries to provide an assisting model for farmers in food-processing and agriculture through the state-of-the-art method. Several concepts related to sustainability in food processing have been estimated through machine learning, and the deep learning model as a worldwide concept. The demand for the usage of AI and computer vision in the Ag-TECH industry has increased which impacts sustainable food production to feed the future. Certain implications have been suggested for real-time monitoring of the farming process, politics behind sustainable food production, and investment which is the main game-player in the present situation. The 4th Industrial Revolution [IR-4.0] was ushered in by the deployment of computer vision and AI in the food business, with computer vision robotics playing a crucial role in ensuring sustainable food production.

Item Type: Article
Uncontrolled Keywords: Sustainability, supply chain, Artificial Intelligence, Computer Vision, IR-4.0
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
T Technology > TJ Mechanical engineering and machinery
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Depositing User: ePrints deposit
Date Deposited: 10 Feb 2022 11:58
Last Modified: 10 Feb 2022 11:58
URI: http://eprints.tiu.edu.iq/id/eprint/784

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