Übersicht			Auf mobile öffnen

Lieferstatus:	Vorankündigung
Veröffentlichung:	ANGEKÜNDIGT (Februar 2028)
Genre:	Naturwissensch., Medizin, Technik
	Artificial Intelligence / data management / Food & beverage technology / Food and beverage technology / Food Industry / food safety / Mechanical Engineering / personalized nutrition / Predictive Analytics / quality control / Steam engines / Supply Chain / Sustainability / TECHNOLOGY & ENGINEERING / Food Science / General / TECHNOLOGY & ENGINEERING / Machinery mehr...
ISBN:	9780443289262
EAN-Code:	9780443289262
Verlag:	Elsevier
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 191 mm / D
Gewicht:	450 gr
Bewertung:	Keine Bewertung vor Veröffentlichung möglich.

Inhalt:

Practical Applications of Machine Learning and Artificial Intelligence in the Food Industry provides a comprehensive overview of the applications of machine learning and artificial intelligence in the food industry. The book covers a wide range of topics including food safety, quality control, sustainability, personalized nutrition, and supply chain optimization. It also discusses various machine-learning techniques and provides examples of successful implementations in the industry. The book is divided into six sections, the introductory section sets the stage by detailing key machine learning and artificial intelligence concepts, and their relevancy to the food industry. The second section addresses data collection and predictive analysis, featuring chapters on predictive maintenance, yield optimization, and consumer behaviour analytics. The third section focuses on food safety and quality control, detailing how machine learning can be deployed for tasks such as food fraud detection, predictive microbiology, and quality control enhancements. Section four further explores how these technologies can help in food texture, flavour, and shelf-life predictions. The fifth section presents an in-depth exploration of supply chain optimization and traceability, discussing the role of AI and machine learning in areas like real-time food safety monitoring, product authenticity assurance, and big data for food traceability. The final section highlights the application of these technologies in creating personalized nutrition strategies and promoting sustainable agricultural practices. Each section includes real-world examples of successful implementations, reinforcing the practicality of these applications. Practical Applications of Machine Learning and Artificial Intelligence in the Food Industry serves as an ultimate practical guide for implementing machine learning and artificial intelligence in the food industry and provides readers with valuable insights into emerging technologies in the field.