Atul b kathole (23 risultati)

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2012

    365917114X / 9783659171147

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    Editore: LAP Lambert Academic Publishing, DE, 2012

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    Editore: LAP LAMBERT Academic Publishing, 2012

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing 2012-07-06, 2012

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2012

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2012

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    Condizione: New. In English.

  • Lingua: Inglese

    Editore: LAP Lambert Academic Publishing, 2012

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    Taschenbuch. Condizione: Neu. Operation Research | Travelling Salesman Problem | Atul B. Kathole | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2012 | LAP Lambert Academic Publishing | EAN 9783659171147 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.…

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    Editore: LAP Lambert Academic Publishing, DE, 2012

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    Editore: LAP LAMBERT Academic Publishing, 2012

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    Editore: LAP LAMBERT Academic Publishing, 2012

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    Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

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    Editore: LAP LAMBERT Academic Publishing, 2012

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  • Lingua: Inglese

    Editore: Apple Academic Press, 2026

    1779647271 / 9781779647276

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  • Lingua: Inglese

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  • Lingua: Inglese

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    Condizione: New. Atul B. Kathole, PhD, is serving as an Professor in the Department of Computer Engineering at ADYPU, Pune, India. He earned his MTech and PhD in Computer Science &amp Engineering and has also completed an MBA (IT). His teaching experience spans o.

  • Lingua: Inglese

    Editore: Apple Academic Press Inc. Okt 2026, 2026

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    Buch. Condizione: Neu. Neuware - The rapid evolution of digital technology has transformed agriculture from a reliance on intuition and tradition to a data-driven, precise, and sustainable sector, often referred to as Agriculture 4.0. By early 2026, the integration of AI, IoT, and robotics has become foundational rather than a 'nice-to-have' for optimizing productivity, reducing waste, and mitigating environmental impact. The farms of today are not only led in conventional ways but are becoming empowered in terms of smart systems, data-driven information, and interconnected devices.This new volume, Smart Farm Management Systems: Integrating IoT with Big Data Analytics, provides a clear understanding of how the new technologies can transform agricultural operations, increase the farm productivity, and enhance the sustainability of farming processes. It offers an abundance of real-life practical solutions to farm management challenges. With the combination of IoT-based sensing technologies and the enormous potential of big data analytics, contemporary farms will be able to attain a greater level of precision, transparency, and efficiency in its operations.The book first discusses the challenges of integrating Agriculture 4.0 technologies and then proceeds to explore the myriad uses of smart technologies, such as artificial intelligence, Internet of Things, CNN-based deep learning, big data, chatbots, etc., for a variety of farm-related management issues. These include for green energy generation; for agricultural waste management; for plant disease detection and diagnosis; for security and real-time surveillance threat detection; for data-driven decision making and statistical hypothesis testing; for scheduling of irrigation, fertilization, etc.; for multi-language communication; to estimate and measure yield and field problems; and much more.This volume helps to meet the growing world demand for efficient food production by offering smart farming solutions to the problems of climate change, resources optimization, and monitoring of crop health. Providing diverse perspectives, new research, and practical applications, this volume will prove to be an important resource for students, academicians, researchers, farmers, agritech professionals, and policymakers who are interested to unravel the transformational role of technology in agriculture.…

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2012

    365917114X / 9783659171147

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    Editore: LAP LAMBERT Academic Publishing, 2012

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  • Lingua: Inglese

    Editore: LAP Lambert Academic Publishing, 2012

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    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is prepared with the view to help you in studying Operation Research in an easy way. In this book I covered all the topics of operation research which in the format of question and answer. I have tried our best to present relevant material in a very simple manner, expressed in a clear and very easy language. I am thankful to the publisher for the pains he has taken and interest he has show in publishing this book. It includes the syllabus for operation research.…

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2012

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    Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kathole Atul B.This book is dedicated to Aai-Baba(Mr.Baliram Sukhadeo Kathole and Mrs.Surekha Baliram Kathole)For everything and especially for always providing me the freedom to make my own decisions !!!!!!! About Th.…

  • Lingua: Inglese

    Editore: Apple Academic Press Inc., Oakville, 2026

    1779647271 / 9781779647276

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    Hardcover. Condizione: new. Hardcover. The rapid evolution of digital technology has transformed agriculture from a reliance on intuition and tradition to a data-driven, precise, and sustainable sector, often referred to as Agriculture 4.0. By early 2026, the integration of AI, IoT, and robotics has become foundational rather than a "nice-to-have" for optimizing productivity, reducing waste, and mitigating environmental impact. The farms of today are not only led in conventional ways but are becoming empowered in terms of smart systems, data-driven information, and interconnected devices.This new volume, Smart Farm Management Systems: Integrating IoT with Big Data Analytics, provides a clear understanding of how the new technologies can transform agricultural operations, increase the farm productivity, and enhance the sustainability of farming processes. It offers an abundance of real-life practical solutions to farm management challenges. With the combination of IoT-based sensing technologies and the enormous potential of big data analytics, contemporary farms will be able to attain a greater level of precision, transparency, and efficiency in its operations.The book first discusses the challenges of integrating Agriculture 4.0 technologies and then proceeds to explore the myriad uses of smart technologies, such as artificial intelligence, Internet of Things, CNN-based deep learning, big data, chatbots, etc., for a variety of farm-related management issues. These include for green energy generation; for agricultural waste management; for plant disease detection and diagnosis; for security and real-time surveillance threat detection; for data-driven decision making and statistical hypothesis testing; for scheduling of irrigation, fertilization, etc.; for multi-language communication; to estimate and measure yield and field problems; and much more.This volume helps to meet the growing world demand for efficient food production by offering smart farming solutions to the problems of climate change, resources optimization, and monitoring of crop health. Providing diverse perspectives, new research, and practical applications, this volume will prove to be an important resource for students, academicians, researchers, farmers, agritech professionals, and policymakers who are interested to unravel the transformational role of technology in agriculture. Details use of new technologies like IoT and Big Data Analytics for improving agricultural operations, increase farm productivity, and enhance sustainability of farming processes. Offers practical solutions to farm management challenges. Covers technologies for agricultural waste management; plant disease detection, diagnosis, and more. 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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    Editore: Apple Academic Press Inc., Oakville, 2026

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    Hardcover. Condizione: new. Hardcover. The rapid evolution of digital technology has transformed agriculture from a reliance on intuition and tradition to a data-driven, precise, and sustainable sector, often referred to as Agriculture 4.0. By early 2026, the integration of AI, IoT, and robotics has become foundational rather than a "nice-to-have" for optimizing productivity, reducing waste, and mitigating environmental impact. The farms of today are not only led in conventional ways but are becoming empowered in terms of smart systems, data-driven information, and interconnected devices.This new volume, Smart Farm Management Systems: Integrating IoT with Big Data Analytics, provides a clear understanding of how the new technologies can transform agricultural operations, increase the farm productivity, and enhance the sustainability of farming processes. It offers an abundance of real-life practical solutions to farm management challenges. With the combination of IoT-based sensing technologies and the enormous potential of big data analytics, contemporary farms will be able to attain a greater level of precision, transparency, and efficiency in its operations.The book first discusses the challenges of integrating Agriculture 4.0 technologies and then proceeds to explore the myriad uses of smart technologies, such as artificial intelligence, Internet of Things, CNN-based deep learning, big data, chatbots, etc., for a variety of farm-related management issues. These include for green energy generation; for agricultural waste management; for plant disease detection and diagnosis; for security and real-time surveillance threat detection; for data-driven decision making and statistical hypothesis testing; for scheduling of irrigation, fertilization, etc.; for multi-language communication; to estimate and measure yield and field problems; and much more.This volume helps to meet the growing world demand for efficient food production by offering smart farming solutions to the problems of climate change, resources optimization, and monitoring of crop health. Providing diverse perspectives, new research, and practical applications, this volume will prove to be an important resource for students, academicians, researchers, farmers, agritech professionals, and policymakers who are interested to unravel the transformational role of technology in agriculture. Details use of new technologies like IoT and Big Data Analytics for improving agricultural operations, increase farm productivity, and enhance sustainability of farming processes. Offers practical solutions to farm management challenges. Covers technologies for agricultural waste management; plant disease detection, diagnosis, and more. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

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    Editore: Apple Academic Press Inc., Oakville, 2026

    1779647271 / 9781779647276

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    Hardcover. Condizione: new. Hardcover. The rapid evolution of digital technology has transformed agriculture from a reliance on intuition and tradition to a data-driven, precise, and sustainable sector, often referred to as Agriculture 4.0. By early 2026, the integration of AI, IoT, and robotics has become foundational rather than a "nice-to-have" for optimizing productivity, reducing waste, and mitigating environmental impact. The farms of today are not only led in conventional ways but are becoming empowered in terms of smart systems, data-driven information, and interconnected devices.This new volume, Smart Farm Management Systems: Integrating IoT with Big Data Analytics, provides a clear understanding of how the new technologies can transform agricultural operations, increase the farm productivity, and enhance the sustainability of farming processes. It offers an abundance of real-life practical solutions to farm management challenges. With the combination of IoT-based sensing technologies and the enormous potential of big data analytics, contemporary farms will be able to attain a greater level of precision, transparency, and efficiency in its operations.The book first discusses the challenges of integrating Agriculture 4.0 technologies and then proceeds to explore the myriad uses of smart technologies, such as artificial intelligence, Internet of Things, CNN-based deep learning, big data, chatbots, etc., for a variety of farm-related management issues. These include for green energy generation; for agricultural waste management; for plant disease detection and diagnosis; for security and real-time surveillance threat detection; for data-driven decision making and statistical hypothesis testing; for scheduling of irrigation, fertilization, etc.; for multi-language communication; to estimate and measure yield and field problems; and much more.This volume helps to meet the growing world demand for efficient food production by offering smart farming solutions to the problems of climate change, resources optimization, and monitoring of crop health. Providing diverse perspectives, new research, and practical applications, this volume will prove to be an important resource for students, academicians, researchers, farmers, agritech professionals, and policymakers who are interested to unravel the transformational role of technology in agriculture. Details use of new technologies like IoT and Big Data Analytics for improving agricultural operations, increase farm productivity, and enhance sustainability of farming processes. Offers practical solutions to farm management challenges. Covers technologies for agricultural waste management; plant disease detection, diagnosis, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…