A critical review on computer vision and artificial intelligence in food industry
Vijay Kakani,Van Huan Nguyen,Basivi Praveen Kumar,Hakil Kim,Visweswara Rao Pasupuleti +4 more
- Vol. 2, pp 100033
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TLDR
This paper investigates various scenarios and use cases of machine learning, machine vision and deep learning in global perspective with the lens of sustainability, and discusses the possibility of using Fourth Industrial Revolution [4.0 IR] technologies such as deep learning and computer vision robotics as a key for sustainable food production.Abstract:
Emerging technologies such as computer vision and Artificial Intelligence (AI) are estimated to leverage the accessibility of big data for active training and yielding operational real time smart machines and predictable models. This phenomenon of applying vision and learning methods for the improvement of food industry is termed as computer vision and AI driven food industry. This review contributes to provide an insight into state-of-the-art AI and computer vision technologies that can assist farmers in agriculture and food processing. This paper investigates various scenarios and use cases of machine learning, machine vision and deep learning in global perspective with the lens of sustainability. It explains the increasing demand towards the AgTech industry using computer vision and AI which might be a path towards sustainable food production to feed the future. Also, this review tosses some implications regarding challenges and recommendations in inclusion of technologies in real time farming, substantial global policies and investments. Finally, the paper discusses the possibility of using Fourth Industrial Revolution [4.0 IR] technologies such as deep learning and computer vision robotics as a key for sustainable food production.read more
Citations
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Improvement Strategies of Food Supply Chain through Novel Food Processing Technologies during COVID-19 Pandemic
TL;DR: The novel and smart technologies during food processing to minimize human-to-human and human- to-food contact would make food processing activities smarter, which would ultimately help to run the FSC smoothly during COVID-19 pandemic.
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The digitization of agricultural industry – a systematic literature review on agriculture 4.0
TL;DR: In this article , a systematic literature review based on Protocol of Preferred Reporting Items for Systematic Reviews and Meta-Analyses is conducted to analyse the scientific literature related to crop farming published in the last decade.
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Internet of Nonthermal Food Processing Technologies (IoNTP): Food Industry 4.0 and Sustainability
TL;DR: In this article, the authors present an overview on digitalization, IoT, additive technologies (3D printing), cloud data storage and smart sensors including two SWOT analysis associated with IoNTPs and sustainability.
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The quiet revolution in machine vision - A state-of-the-art survey paper, including historical review, perspectives, and future directions
TL;DR: In this article, the authors explore the history and nature of this change, what underlies it, what enables it, and the impact it has had -the latter by reviewing several recent indicative applications described in the research literature.
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Opportunities of Artificial Intelligence and Machine Learning in the Food Industry
TL;DR: The AI applications in the food industry recommend a huge amount of capital saving with maximizing resource utilization by reducing human error and could significantly improve packaging, increasing shelf life, a combination of the menu by using AI algorithms, and food safety by making a more transparent supply chain management system.
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