Del i serien Chapman & Hall/CRC Internet of Things

Digital Farming

Nyhet

Case Studies and Applications of IoT and AI in Agricultural Industry

Inbunden, Engelska, 2026

AvT. Chandrakumar,Bhisham Sharma,Subrata Chowdhury,Khaled Rabie

3 229 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

This book explores IoT-based ecosystems and AI-driven automation in agriculture to provide solutions for intelligent farming systems and precision agriculture techniques. It provides a comprehensive view of emerging technologies’ integration and the resultant impact on the farming ecosystem. Real-world case studies and examples of IoT and AI applications in agriculture are included to show how IoT and AI have revolutionized conventional agriculture. The book also examines the potential and difficulties of deploying IoT and AI in the agricultural business with case studies.Features:Demonstrates how technologies like precision agriculture, smart sensors, and automated systems can be utilized to boost production, reduce waste, and increase sustainability by optimizing resource usage and reducing environmental impactExplains how small sensors, intelligence drones, or low-power Internet of Things setups for detecting, monitoring, gathering, analyzing, and storing data through cloud platforms are encouraging smart and intelligent agricultureHighlights IoT and AI intervention options for effective assessment of musculoskeletal, ergonomic, and postural analysesExplains usage of AI and IoT in precision farming, agricultural drones and hopping systems, livestock monitoring, temperature monitoring, smart greenhouses, and computer imagingDiscusses challenges like data security, rural connectivity issues, infrastructure limitations, and the digital divide in rural areasThe book is a helpful reference for professionals, scholars, and students interested in digital farming and sustainable agricultural practices. It acts as a guiding tool for practitioners, researchers, educators, and policymakers, encouraging discussions, innovations, and advancements that will shape a sustainable, efficient, and resilient future for agriculture.

Produktinformation

Utgivningsdatum2026-10-21
Mått156 x 234 x undefined mm
FormatInbunden
SpråkEngelska
SerieChapman & Hall/CRC Internet of Things
Antal sidor264
FörlagTaylor & Francis Ltd
ISBN9781032767253

Tillhör följande kategorier

Lantbruksteknik inom Naturvetenskap och teknik
Artificiell intelligens inom Data och IT
Tillämpad datateknik inom Data och IT

T. Chandrakumar is a Professor of Data Science in the Department of Applied Mathematics and Computational Science at Thiagarajar College of Engineering (TCE), Madurai, Tamil Nadu, India. His scholarly work spans diverse domains including agricultural informatics, biomedical image processing, enterprise systems, and intelligent computing, reflecting strong interdisciplinary expertise.Bhisham Sharma is currently working at the Centre of Research Impact and Outcome (CRIO), Chitkara University, Punjab, India. His research interests span Wireless Communication, Wireless Sensor Networks, Wireless Mesh Networks, Next Generation Networking, Network Security, Internet of Things, UAV, Medical Image Processing, Artificial Intelligence, Deep Learning, Machine Learning, and Edge/Fog Computing.Subrata Chowdhury is an Associate Professor in the Department of Computer Science and Engineering, Sri Venkateswara College of Engineering & Technology, Andhra Pradesh, India.Khaled Rabie is currently a Distinguished Associate Professor with the Computer Engineering Department at King Fahd University of Petroleum & Minerals (KFUPM), Saudi Arabia. His current research interests focus on designing and developing next-generation wireless communication systems.

Chapter 1. Applications of Artificial Intelligence (AI) and IoT in Smart Farming. Chapter 2. Integrating Blockchain for Enhanced Paddy Disease Traceability: A Conceptual Model. Chapter 3. Glucose Biosensors for Diabetes Monitoring: Fundamentals and Latest Technological Developments. Chapter 4. Agriculture Drones and Hopping systems. Chapter 5. Applications and Challenges of Metaverse in the Agriculture Sector: A Review. Chapter 6. Enhancing a Predictive Model for Forecasting Paddy Seed Yields Using Generative Techniques. Chapter 7. Cost Efficiency and Environmental Impact of Agribots in Modern Farming. Chapter 8. Impact of Agribots on Agricultural Productivity and Market Performance. Chapter 9. Smart Farming and Cyber Security: Safeguarding Agricultural Data and Infrastructure. Chapter 10. A Crop Cultivation Optimization Method Based on Digital Twins. Chapter 11. Revolutionizing Agriculture: Harnessing the Power of AI for Precision Farming and Sustainable Crop Management. Chapter 12. AgriSCM: A Blockchain-Powered Agricultural Supply Chain Management. Chapter 13. RoseLeafNet: A Novel Deep Learning Framework for Real-Time Detection and Classification of Rose Leaf Diseases Based on MobileNetV3

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Del i serien Chapman & Hall/CRC Internet of Things

Digital Farming

Nyhet

Case Studies and Applications of IoT and AI in Agricultural Industry

Inbunden, Engelska, 2026

AvT. Chandrakumar,Bhisham Sharma,Subrata Chowdhury,Khaled Rabie

3 229 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Produktinformation

Utgivningsdatum2026-10-21
Mått156 x 234 x undefined mm
FormatInbunden
SpråkEngelska
SerieChapman & Hall/CRC Internet of Things
Antal sidor264
FörlagTaylor & Francis Ltd
ISBN9781032767253

Tillhör följande kategorier

Lantbruksteknik inom Naturvetenskap och teknik
Artificiell intelligens inom Data och IT
Tillämpad datateknik inom Data och IT

Chapter 1. Applications of Artificial Intelligence (AI) and IoT in Smart Farming. Chapter 2. Integrating Blockchain for Enhanced Paddy Disease Traceability: A Conceptual Model. Chapter 3. Glucose Biosensors for Diabetes Monitoring: Fundamentals and Latest Technological Developments. Chapter 4. Agriculture Drones and Hopping systems. Chapter 5. Applications and Challenges of Metaverse in the Agriculture Sector: A Review. Chapter 6. Enhancing a Predictive Model for Forecasting Paddy Seed Yields Using Generative Techniques. Chapter 7. Cost Efficiency and Environmental Impact of Agribots in Modern Farming. Chapter 8. Impact of Agribots on Agricultural Productivity and Market Performance. Chapter 9. Smart Farming and Cyber Security: Safeguarding Agricultural Data and Infrastructure. Chapter 10. A Crop Cultivation Optimization Method Based on Digital Twins. Chapter 11. Revolutionizing Agriculture: Harnessing the Power of AI for Precision Farming and Sustainable Crop Management. Chapter 12. AgriSCM: A Blockchain-Powered Agricultural Supply Chain Management. Chapter 13. RoseLeafNet: A Novel Deep Learning Framework for Real-Time Detection and Classification of Rose Leaf Diseases Based on MobileNetV3