Smart Farm Management Systems by Atul B. Kathole - ISBN: 9781779647276
Hardcover
Future farms: IoT, AI, and big data drive precision, efficiency, sustainability.
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Smart Farm Management Systems

Integrating IoT with Big Data Analytics

RRP$314.99

$267.75

  • Hardcover

    278 pages

  • Release Date

    5 October 2026

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Summary

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 sy…

Book Details

ISBN-13:9781779647276
ISBN-10:1779647271
Author:Atul B. Kathole, Kapil Netaji Vhatkar, Lalit Kumar Wadhwa, Vinod V. Kimbahune
Publisher:Apple Academic Press Inc.
Imprint:Apple Academic Press Inc.
Format:Hardcover
Number of Pages:278
Release Date:5 October 2026
Dimensions:152mm x 229mm
A-Format
B-Format
Smart Farm Management Systems by Atul B. Kathole - ISBN: 9781779647276
152 × 229 mm
C-Format
A4
mm / in
About The Author

Atul B. Kathole

Atul B. Kathole, PhD

Professor in the Department of Computer Engineering at ADYPU, Pune, India. He earned his MTech and PhD in Computer Science & Engineering and has also completed an MBA (IT). His teaching experience spans over a decade, and his research interests include Internet of Things (IoT), VANETs, network security, deep learning, and federated learning in cloud environments. He holds several patents and has published in areas such as IoT-enabled pest identification, intrusion detection, and cloud load-balancing.

Kapil Netaji Vhatkar, PhD

Associate Professor at the Symbiosis Skills and Professional University, Pune, India. He holds a PhD in Computer Engineering from Veermata Jijabai Technological Institute (VJTI), Mumbai. Prior to this, he had roles in industry as a network engineer and in academia for over 14 years in teaching and guiding undergraduate students. His research areas are focused on optimization algorithms, resource allocation in cloud computing, deep learning, and networking. He has co-authored a work on IoT-based agriculture, cloud resource scheduling, and virus-host prediction using deep recurrent neural networks.

Vinod V. Kimbahune, PhD

Professor and Head of the Department of Computer Engineering at the Dr. D. Y. Patil Institute of Technology, Pimpri, Pune, India. His academic credentials include a PhD in Computer Engineering, and he has published extensively in areas such as IoT, artificial intelligence, and machine learning applied to networking and smart systems. As Department Head, he also oversees departmental activities including placements, laboratories, student innovation, and research and industry linkages.

Lalit Kumar Wadhwa, PhD

Professor at Dr. D. Y. Patil Institute of Technology, Pimpri, Pune, India. He completed his bachelor’s in Electronics & Telecommunication Engineering and ME in Electronics Engineering at Government College of Engineering, Pune. He earned his PhD from the Indian Institute of Technology (ISM), Dhanbad, India. With over 20 years in academia and research, he has authored books, filed patents, and contributed to institutional accreditation and academic policy development. His focus has been on innovative teaching-learning practices, student-centric leadership, and fostering industry-academic collaboration.

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