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Recent Advances in the Utilisation of Artificial Intelligence in the Food Industry
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Author(s): Moses Ojukwu (Department of Food Science and Technology, Federal University of Technology, Owerri, Nigeria), Chigozie Emmanuel Ofoedu (Department of Food Science and Technology, Federal University of Technology, Owerri, Nigeria), Chijioke M. Osuji (Department of Food Science and Technology, Federal University of Technology, Owerri, Nigeria)and Ogbonnaya Okoro Aja (Department of Agricultural Extension, Federal University of Technology, Owerri, Nigeria)
Copyright: 2024
Pages: 19
Source title:
Innovations in Engineering and Food Science
Source Author(s)/Editor(s): Shilpa Mehta (Auckland University of Technology, New Zealand), Fakhar Islam (NUR International University, Pakistan)and Ali Imran (Government College University, Pakistan)
DOI: 10.4018/979-8-3693-0819-6.ch012
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Abstract
Global population growth raises food security concerns. AI, like computer vision and ML, revolutionizes agriculture. It monitors crop health, predicts yields, and automates tasks. Mobile apps diagnose crop diseases swiftly, boosting productivity. AI-driven machine vision improves food processing by flaw identification and quality control. AI sorting enhances item classification, increasing productivity. In beer production, AI ensures fermentation quality. It optimizes distribution, predicts demand, and reduces waste. AI detects contaminants for food safety. Chatbots offer personalized recommendations. Data privacy and ethics matter, requiring explainable AI (XAI) and legal frameworks must be addressed despite these advancements. AI promises a secure, efficient, and sustainable food ecosystem.
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