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Artificial Intelligence Advanced Analytics by Vuppalapati Chandrasekar (33 results)
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Condition: New.
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Artificial Intelligence and Advanced Analytics for Food Security
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 104.66
US$ 15.76 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Artificial Intelligence and Advanced Analytics for Food Security
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032346191 ISBN 13: 9781032346199
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Condition: New.
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Artificial Intelligence and Advanced Analytics for Food Security (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032346191 ISBN 13: 9781032346199
Language: English
Paperback. Condition: new. Paperback. Climate change, increasing population, food-versus-fuel economics, pandemics, etc. pose a threat to food security to unprecedented levels. It has fallen upon the practitioners of agriculture and technologists of the world to innovate and become more productive to address the multi-pronged food security challenges. Agricultural innovation is key to managing food security concerns. The infusion of data science, artificial intelligence (AI), advanced analytics, satellites data, geospatial data, climatology, sensor technologies, and climate modeling with traditional agricultural practices such as soil engineering, fertilizers use, and agronomy are some of the best ways to achieve this. Data science helps farmers to unravel patterns in fertilizer pricing, equipment usage, transportation and storage costs, yield per hectare, and weather trends to better plan and spend resources. AI enables farmers to learn from fellow farmers to apply best techniques that are transferred learning from AI to improve agricultural productivity and to achieve financial sustainability. Sensor technologies play an important role in getting real-time farm field data and provide feedback loops to improve overall agricultural practices and can yield huge productivity gains. Advanced Analytics modeling is essential software technique that codifies farmers tacit knowledge such as better seed per soil, better feed for dairy cattle breed, or production practices to match weather pattern that was acquired over years of their hard work to share with worldwide farmers to improve overall production efficiencies, the best antidote to food security issue. In addition to the paradigm shift, economic sustainability of small farms is a major enabler of food security.The book reviews all these technological advances and proposes macroeconomic pricing models that data mines macroeconomic signals and the influence of global economic trends on small farm sustainability to provide actionable insights to farmers to avert any financial disasters due to recurrent economic crises. The mission of the book is to prepare current and future data science and software engineering teams with the skills to fully utilize advanced data science to develop agricultural software capabilities that help to achieve sustained food security for years to come and ensure enough food for the future of the planet and generations to come! Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Paperback. Condition: Brand New. 548 pages. 10.00x7.00x10.00 inches. In Stock.
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Artificial Intelligence and Advanced Analytics for Food Security (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032346191 ISBN 13: 9781032346199
Language: English
Paperback. Condition: new. Paperback. Climate change, increasing population, food-versus-fuel economics, pandemics, etc. pose a threat to food security to unprecedented levels. It has fallen upon the practitioners of agriculture and technologists of the world to innovate and become more productive to address the multi-pronged food security challenges. Agricultural innovation is key to managing food security concerns. The infusion of data science, artificial intelligence (AI), advanced analytics, satellites data, geospatial data, climatology, sensor technologies, and climate modeling with traditional agricultural practices such as soil engineering, fertilizers use, and agronomy are some of the best ways to achieve this. Data science helps farmers to unravel patterns in fertilizer pricing, equipment usage, transportation and storage costs, yield per hectare, and weather trends to better plan and spend resources. AI enables farmers to learn from fellow farmers to apply best techniques that are transferred learning from AI to improve agricultural productivity and to achieve financial sustainability. Sensor technologies play an important role in getting real-time farm field data and provide feedback loops to improve overall agricultural practices and can yield huge productivity gains. Advanced Analytics modeling is essential software technique that codifies farmers tacit knowledge such as better seed per soil, better feed for dairy cattle breed, or production practices to match weather pattern that was acquired over years of their hard work to share with worldwide farmers to improve overall production efficiencies, the best antidote to food security issue. In addition to the paradigm shift, economic sustainability of small farms is a major enabler of food security.The book reviews all these technological advances and proposes macroeconomic pricing models that data mines macroeconomic signals and the influence of global economic trends on small farm sustainability to provide actionable insights to farmers to avert any financial disasters due to recurrent economic crises. The mission of the book is to prepare current and future data science and software engineering teams with the skills to fully utilize advanced data science to develop agricultural software capabilities that help to achieve sustained food security for years to come and ensure enough food for the future of the planet and generations to come! Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Hardcover. Condition: Very Good. No Jacket. Missing dust jacket; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Condition: New.
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Condition: As New. Unread book in perfect condition.
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Artificial Intelligence and Advanced Analytics for Food Security
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 257.09
US$ 15.76 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Artificial Intelligence and Advanced Analytics for Food Security
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 254.35
US$ 19.73 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Artificial Intelligence and Advanced Analytics for Food Security
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 289.21
US$ 19.73 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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hardcover. Condition: New. New. Ships from Multiple Locations. book.
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Hardcover. Condition: Brand New. 548 pages. 10.00x7.00x1.30 inches. In Stock.
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Hardcover. Condition: New. 1st Edition.
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Artificial Intelligence and Advanced Analytics for Food Security (Paperback)
Published by Taylor & Francis Ltd, London, 2024
ISBN 10: 1032346191 ISBN 13: 9781032346199
Language: English
Paperback. Condition: new. Paperback. Climate change, increasing population, food-versus-fuel economics, pandemics, etc. pose a threat to food security to unprecedented levels. It has fallen upon the practitioners of agriculture and technologists of the world to innovate and become more productive to address the multi-pronged food security challenges. Agricultural innovation is key to managing food security concerns. The infusion of data science, artificial intelligence (AI), advanced analytics, satellites data, geospatial data, climatology, sensor technologies, and climate modeling with traditional agricultural practices such as soil engineering, fertilizers use, and agronomy are some of the best ways to achieve this. Data science helps farmers to unravel patterns in fertilizer pricing, equipment usage, transportation and storage costs, yield per hectare, and weather trends to better plan and spend resources. AI enables farmers to learn from fellow farmers to apply best techniques that are transferred learning from AI to improve agricultural productivity and to achieve financial sustainability. Sensor technologies play an important role in getting real-time farm field data and provide feedback loops to improve overall agricultural practices and can yield huge productivity gains. Advanced Analytics modeling is essential software technique that codifies farmers tacit knowledge such as better seed per soil, better feed for dairy cattle breed, or production practices to match weather pattern that was acquired over years of their hard work to share with worldwide farmers to improve overall production efficiencies, the best antidote to food security issue. In addition to the paradigm shift, economic sustainability of small farms is a major enabler of food security.The book reviews all these technological advances and proposes macroeconomic pricing models that data mines macroeconomic signals and the influence of global economic trends on small farm sustainability to provide actionable insights to farmers to avert any financial disasters due to recurrent economic crises. The mission of the book is to prepare current and future data science and software engineering teams with the skills to fully utilize advanced data science to develop agricultural software capabilities that help to achieve sustained food security for years to come and ensure enough food for the future of the planet and generations to come! 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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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Artificial Intelligence and Advanced Analytics for Food Security
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
US$ 109.76
US$ 8.89 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Artificial Intelligence and Advanced Analytics for Food Security
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032346191 ISBN 13: 9781032346199
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 151.35
US$ 21.06 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.
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Taschenbuch. Condition: Neu. Artificial Intelligence and Advanced Analytics for Food Security | Chandrasekar Vuppalapati | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | CRC Press | EAN 9781032346199 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The mission of the book is to prepare current and future data science and software engineering teams with the skills to fully utilize advanced data science to develop agricultural software capabilities that help to achieve sustained food security for years to come and ensure enough food for the future of the planet and generations to come!
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Chandra is a seasoned Software IT Executive with diverse experience in Software Technologies, Enterprise Software Architectures, Cloud Computing, Big Data Business Analytics, Internet Of Things (IoT), and Software Product & Program Management. Chandr.
