ISBN: 9781041289777 - plant disease detection using machine learning, deep learning, and metaheuristics (4 risultati)

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Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 156,71
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Condizione: New. Prof. (Dr.) Nebojsa Bacanin obtained a PhD in 2015 from the Faculty of Mathematics, University of Belgrade, Serbia (in Computer Science, average grade 10,00). He started his university career in Serbia 18 years ago at the Graduate School of Comput.

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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 209,85
EUR 35,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Buch. Condizione: Neu. Neuware - The book explores how machine learning (ML), deep learning (DL), and metaheuristic optimization techniques can revolutionize plant disease detection and agricultural intelligence. Unlike traditional agronomic approaches, this book bridges advanced computational methods with real-world agricultural needs. It emphasizes both the scientific and practical dimensions-focusing on image-based disease detection, sensor data interpretation, optimization of predictive models, and real-world deployment strategies. The book looks at the subject from a technology, biological & agricultural, computational optimization, practical and social impact perspective.This edited book is designed for researchers, academicians, and professionals working in Artificial Intelligence, Machine Learning, Deep Learning, Metaheuristics, and agricultural sciences. It will also benefit agricultural engineers, data scientists, agritech industries, policymakers, and undergraduate, postgraduate, and doctoral students interested in AI-driven plant disease detection and smart agriculture applications.…

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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 203,73
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibile
Hardcover. Condizione: new. Hardcover. The book explores how machine learning (ML), deep learning (DL), and metaheuristic optimization techniques can revolutionize plant disease detection and agricultural intelligence. Unlike traditional agronomic approaches, this book bridges advanced computational methods with real-world agricultural needs. It emphasizes both the scientific and practical dimensionsfocusing on image-based disease detection, sensor data interpretation, optimization of predictive models, and real-world deployment strategies. The book looks at the subject from a technology, biological & agricultural, computational optimization, practical and social impact perspective.This edited book is designed for researchers, academicians, and professionals working in Artificial Intelligence, Machine Learning, Deep Learning, Metaheuristics, and agricultural sciences. It will also benefit agricultural engineers, data scientists, agritech industries, policymakers, and undergraduate, postgraduate, and doctoral students interested in AI-driven plant disease detection and smart agriculture applications. The book explores how machine learning, deep learning, and metaheuristic optimization techniques can revolutionize plant disease detection and agricultural intelligence. It bridges advanced computational methods with real-world agricultural needs. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 195,63
EUR 44,20 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibile
Hardcover. Condizione: new. Hardcover. The book explores how machine learning (ML), deep learning (DL), and metaheuristic optimization techniques can revolutionize plant disease detection and agricultural intelligence. Unlike traditional agronomic approaches, this book bridges advanced computational methods with real-world agricultural needs. It emphasizes both the scientific and practical dimensionsfocusing on image-based disease detection, sensor data interpretation, optimization of predictive models, and real-world deployment strategies. The book looks at the subject from a technology, biological & agricultural, computational optimization, practical and social impact perspective.This edited book is designed for researchers, academicians, and professionals working in Artificial Intelligence, Machine Learning, Deep Learning, Metaheuristics, and agricultural sciences. It will also benefit agricultural engineers, data scientists, agritech industries, policymakers, and undergraduate, postgraduate, and doctoral students interested in AI-driven plant disease detection and smart agriculture applications. The book explores how machine learning, deep learning, and metaheuristic optimization techniques can revolutionize plant disease detection and agricultural intelligence. It bridges advanced computational methods with real-world agricultural needs. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…