Details
| Title | Advances in environmental engineering and green technologies (AEEGT) book series. — Smart agricultural services using deep learning, big data, and IoT |
|---|---|
| Other creators | Gupta Amit Kumar |
| Collection | Электронные книги зарубежных издательств ; Общая коллекция |
| Subjects | Agricultural informatics. ; Artificial intelligence — Agricultural applications. ; Internet of things. ; Machine learning. ; Big data. ; EBSCO eBooks |
| Document type | Other |
| File type | |
| Language | English |
| Rights | Доступ по паролю из сети Интернет (чтение, печать, копирование) |
| Record key | on1152479163 |
| Record create date | 2/13/2020 |
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| Group | Anonymous |
|---|---|
| Network | Internet |
"This book explores the application of deep learning, big data, IoT in agricultural services"--.
| Network | User group | Action |
|---|---|---|
| ILC SPbPU Local Network | All |
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| Internet | Authorized users SPbPU |
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| Internet | Anonymous |
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- Cover
- Title Page
- Copyright Page
- Book Series
- Editorial Advisory Board
- Table of Contents
- Detailed Table of Contents
- Foreword
- Preface
- Acknowledgment
- Chapter 1: A Neural Network-Based Approach for Pest Detection and Control in Modern Agriculture Using Internet of Things
- Chapter 2: Automated Fruit Grading System Using Image Fusion
- Chapter 3: Fog Computing as Solution for IoT-Based Agricultural Applications
- Chapter 4: Green Cloud
- Chapter 5: Internet of Things
- Chapter 6: Internet of Things and the Role of Wireless Sensor Networks in IoT
- Chapter 7: IoT-Based Agri-Safety Model
- Chapter 8: Plant Diseases Concept in Smart Agriculture Using Deep Learning
- Chapter 9: Smart Agriculture and Farming Services Using IoT
- Chapter 10: Smart Agriculture Services Using Deep Learning, Big Data, and IoT (Internet of Things)
- Chapter 11: An Analysis of Big Data Analytics
- Chapter 12: Towards Intelligent Agriculture Using Smart IoT Sensors
- Compilation of References
- About the Contributors
- Index
