Smart Farm Management Systems
eBook - ePub

Smart Farm Management Systems

Integrating IoT with Big Data Analytics

  1. 278 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Smart Farm Management Systems

Integrating IoT with Big Data Analytics

About this book

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.

Information

Year
2026
Print ISBN
9781779647276
Edition
1
eBook ISBN
9781042534005

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. About the Editors
  6. Contents
  7. Contributors
  8. Abbreviations
  9. Preface
  10. 1. Challenges in Achieving Compatibility While Integrating Agriculture 4.0 Technologies
  11. 2. Sustainable Farming in the Digital Era: AI and IoT Technologies Transforming Agriculture
  12. 3. An Intelligent IoT System for Agricultural Waste Management and Green Energy Generation
  13. 4. Adaptive Hybrid Segmentation and Attention-Driven Residual ShuffleNet to Enhance the Detection of Tomato Leaf Disease
  14. 5. IoT-Powered Cotton Disease Diagnosis: Enhancing Sustainability Through Smart Sensing
  15. 6. Smart Agriculture: Early Tomato Leaf Disease Detection Using CNN-Based Deep Learning
  16. 7. Performance Analysis of Routing Table Falsification in Mobile RPL-Based Internet of Things
  17. 8. Key Privacy Challenges and Security Imperatives for Next-Generation IoT Systems
  18. 9. Integrating Data-Driven Decision Making and Statistical Hypothesis Testing in Big Data Analytics for Smart Farming
  19. 10. Identifying and Classifying Pests in the Agricultural Sector Using a Metaheuristic Deep Learning Approach
  20. 11. Turbidimeter: Design and Development of a Cost-Effective Greywater Turbidity Monitoring System Using Arduino Uno to Monitor Water Quality for Irrigation and Reuse
  21. 12. Real-Time Surveillance Threat Detection System in Farms: A Review of Technological Advancements
  22. 13. Enhancing Customer Support with Contextual, History-Aware, and Multilingual Conversational AI Chatbots for Farming
  23. 14. Object Detection and Counting Using the YOLOv8 Algorithm and OpenCV in Smart Farming
  24. 15. Smart Agriculture Plant Health Monitoring Using IoT
  25. Index

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Yes, you can access Smart Farm Management Systems by Atul B. Kathole,Kapil Netaji Vhatkar,Vinod Kimbahune,Lalit Kumar Wadhwa,Vinod V. Kimbahune in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Computer Vision & Pattern Recognition. We have over 1.5 million books available in our catalogue for you to explore.