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Major Insect pests of Different Cultivars of Okra, A.esculentus
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137331962 ISBN 13: 9786137331965
Language: English
£ 63.42
Convert currency£ 6.62 shipping from U.S.A. to United KingdomQuantity: 4 available
Add to basketCondition: New.
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Major Insect pests of Different Cultivars of Okra, A.esculentus
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137331962 ISBN 13: 9786137331965
Language: English
Paperback. Condition: Brand New. 124 pages. 8.66x5.91x0.28 inches. In Stock.
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Condition: New.
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Open Electronic Data Capture Tools for Medical and Biomedical Research and Medical Allied Professionals (Paperback)
Published by Elsevier Science Publishing Co Inc, San Diego, 2024
ISBN 10: 0443156654 ISBN 13: 9780443156656
Language: English
Paperback. Condition: new. Paperback. Open Electronic Data Capture Tools for Medical and Biomedical Research and Medical Allied Professionals explains the step-by-step of collecting and treating research data in a didactic manner. The book discusses four freely available data capture tools whose common feature is data collection and entry being done simultaneously rather than separately, thus saving resources and minimizing potential errors. It highlights the comparative features of each data capture tool, helping readers to understand the advantage and disadvantage of each one to decide which tool can be used to fulfill their needs.This is a valuable resource for researchers, students, and members of the biomedical and medical fields who need to learn more about data mining and management to improve the quality of their research work. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Paperback. Condition: Brand New. 404 pages. 9.21x7.50x0.75 inches. In Stock.
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Open Electronic Data Capture Tools for Medical and Biomedical Research and Medical Allied Professionals
Published by Elsevier Science Publishing Co Inc, 2024
ISBN 10: 0443156654 ISBN 13: 9780443156656
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 121.39
Convert currencyFree shipping within United KingdomQuantity: Over 20 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 830.
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£ 121.41
Convert currency£ 6.62 shipping from U.S.A. to United KingdomQuantity: 3 available
Add to basketCondition: New. 1st edition NO-PA16APR2015-KAP.
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£ 135.14
Convert currency£ 6.86 shipping from Germany to United KingdomQuantity: 3 available
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Practical Applications of Machine Learning and Artificial Intelligence in the Food Industry (Paperback)
Published by Elsevier Science Publishing Co Inc, San Diego, 2025
ISBN 10: 0443289263 ISBN 13: 9780443289262
Language: English
Paperback. Condition: new. Paperback. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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£ 21.21
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Major Insect pests of Different Cultivars of Okra, A.esculentus
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137331962 ISBN 13: 9786137331965
Language: English
£ 37.08
Convert currency£ 21.57 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jaiswal Suraj KumarSuraj Kumar Jaiswal mainly worked in the field of Insect Physiology, Biological control, Management, Biodiversity and Studies on Ecological change and their impact on insect. He obtained M.sc(Ag.) Plant protection .
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Major Insect pests of Different Cultivars of Okra, A.esculentus
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137331962 ISBN 13: 9786137331965
Language: English
Condition: New. Print on Demand.
-
Major Insect pests of Different Cultivars of Okra, A.esculentus
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137331962 ISBN 13: 9786137331965
Language: English
£ 69.93
Convert currency£ 6.86 shipping from Germany to United KingdomQuantity: 4 available
Add to basketCondition: New. PRINT ON DEMAND.
