Details

Title: Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture
Imprint: Engineering Science Reference, 2021
Collection: Электронные книги зарубежных издательств; Общая коллекция
Subjects: Artificial intelligence — Agricultural applications.; Internet of things.; Sustainable agriculture.; EBSCO eBooks
Document type: Other
File type: PDF
Language: English
Rights: Доступ по паролю из сети Интернет (чтение, печать, копирование)
Record key: on1235970154

Allowed Actions:

pdf/2693713.pdf
Action 'Read' will be available if you login or access site from another network Action 'Download' will be available if you login or access site from another network
epub/2693713.epub
Action 'Download' will be available if you login or access site from another network

Group: Anonymous

Network: Internet

Document access rights

Network User group Action
ILC SPbPU Local Network All Read Print Download
Internet Authorized users SPbPU Read Print Download
-> Internet Anonymous

Table of Contents

  • Cover
  • Title Page
  • Copyright Page
  • Book Series
  • Editorial Advisory Board
  • Table of Contents
  • Detailed Table of Contents
  • Preface
  • Chapter 1: Digitization in Agriculture
  • Chapter 2: Artificial Intelligence and Its Applications in Agriculture With the Future of Smart Agriculture Techniques
  • Chapter 3: Artificial and Natural Intelligence Techniques as IoP- and IoT-Based Technologies for Sustainable Farming and Smart Agriculture
  • Chapter 4: Digital Technologies for Smart Agriculture
  • Chapter 5: Farming Automation
  • Chapter 6: Food 4.0
  • Chapter 7: Emerging Technological Model to Sustainable Agriculture
  • Chapter 8: Synergistic Technologies for Precision Agriculture
  • Chapter 9: Use of Smart Farming Techniques to Mitigate Water Scarcity
  • Chapter 10: Smart Agriculture With Autonomous Unmanned Ground and Air Vehicles
  • Chapter 11: Smart Sensors for Smart Agriculture
  • Chapter 12: Smart Agriculture Using WSN and IoT
  • Chapter 13: Smart Soil Monitoring System for Smart Agriculture
  • Chapter 14: Real-Time Crop Monitoring in Agriculture
  • Chapter 15: WSN, APSim, and Communication Model-Based Irrigation Optimization for Horticulture Crops in Real Time
  • Chapter 16: Using Drones in Smart Farming
  • Chapter 17: Disease Monitoring of Cucumber in Polyhouse Through IoT-Based Mobile Application
  • Chapter 18: Artificial Intelligence in Integrated Pest Management
  • Chapter 19: Application of Convoluted Neural Network and Its Architectures for Fungal Plant Disease Detection
  • Chapter 20: Deep Learning Applications in Agriculture
  • Chapter 21: Development of a Solar-Powered Greenhouse Integrated With SMS and Web Notification Systems
  • Compilation of References
  • About the Contributors
  • Index

Usage statistics

pdf/2693713.pdf

stat Access count: 0
Last 30 days: 0
Detailed usage statistics

epub/2693713.epub

stat Access count: 0
Last 30 days: 0
Detailed usage statistics