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  • Broschiertes Buch

Scientific Study from the year 2022 in the subject Computer Sciences - Artificial Intelligence, University of Essex (School of Computer Science and Electronic Engineering), language: English, abstract: Food waste is an important social and environmental issue that the current society faces, where one third of the total food produced is wasted or lost every year while more than 820 million people around the world do not have access to adequate food. However, as we move towards a decentralized Web 3.0 enabled smart city, we can utilize cutting edge technologies such as blockchain, artificial…mehr

Produktbeschreibung
Scientific Study from the year 2022 in the subject Computer Sciences - Artificial Intelligence, University of Essex (School of Computer Science and Electronic Engineering), language: English, abstract: Food waste is an important social and environmental issue that the current society faces, where one third of the total food produced is wasted or lost every year while more than 820 million people around the world do not have access to adequate food. However, as we move towards a decentralized Web 3.0 enabled smart city, we can utilize cutting edge technologies such as blockchain, artificial intelligence, cloud computing and many more to reduce food waste in different phases of the supply chain. In this book, we introduce FoodSQRBlock and SmartNoshWaste - two blockchain based multi-layered frameworks in the food supply chain utilizing cloud computing, QR code and reinforcement learning to reduce food waste.
Autorenporträt
Somdip Dey FRSA, also professionally known as InteliDey, is an Indian-born embedded machine learning researcher, educator, entrepreneur and electronic music producer. Dey is widely credited to co-develop the Nosh app, which is an artificial intelligence powered food management application, aiming to reduce food waste in the household. He is also the co-founder and CEO of Nosh Technologies, which is a deep tech company, developing cutting edge technologies to reduce food waste and improve sustainability of the planet. Dey is named a Fellow of the Royal Society of Arts, an MIT Innovator Under 35 Europe and a World IP Review Leader for his contributions in developing embedded machine learning technologies to reduce food waste and help the society.