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ADVANCED TECHNOLOGIES FOR SMART AGRICULTURE

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This book brings new smart farming methodologies to the forefront, sparked by pervasive applications with automated farming technology. New indigenous expertise on smart agricultural technologies is presented along with conceptual prototypes showing how the Internet of Things, cloud computing, machi...

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Bibliographic Details
Online Access: Full Text (via Taylor & Francis)
Other Authors: Kalaiccelvi, Kà„ (Editor), Anand, A. Jose, 1975- (Editor), Tanwar, Poonam, 1979- (Editor), Raza, Haider (Editor)
Format: Electronic eBook
Language:English
Published: [S.l.] : RIVER PUBLISHERS, 2023.
Series:River Publishers series in computing and information science and technology
Subjects:
Agriculture > Data processing.
Artificial intelligence > Agricultural applications.
Table of Contents:
  • Cover
  • Half Title
  • Series Page
  • Title Page
  • Copyright Page
  • Table of Contents
  • Preface
  • List of Contributors
  • List of Figures
  • List of Tables
  • List of Abbreviations
  • Chapter 1: Introduction to Smart Agriculture
  • 1.1: Introduction to Agriculture Process
  • 1.1.1: Soil preparation
  • 1.1.2: Sowing
  • 1.1.3: Manuring
  • 1.1.4: Irrigation
  • 1.1.5: Weeding
  • 1.1.6: Harvesting
  • 1.1.7: Storage
  • 1.2: Role of Smart Agriculture in Soil Preparation
  • 1.2.1: Activities of IoT sensors
  • 1.3: Role of IoT Devices in Smart Agriculture
  • 1.3.1: Robotics in agriculture
  • 1.3.2: Drones in agriculture
  • 1.3.3: Remote sensing sensors in agriculture
  • 1.3.4: Computer imaging in agriculture
  • 1.4: Role of Irrigation in Smart Agriculture
  • 1.4.1: Soil sensors
  • 1.4.2: Weather sensors
  • 1.4.3: Plant sensors
  • 1.4.4: Capabilities of a smart irrigation solution
  • 1.4.5: Technology used in smart irrigation system
  • 1.5: Role of Harvesting in Smart Agriculture
  • 1.6: Advantages of Smart Agriculture
  • 1.7: Challenges in Smart Agriculture
  • 1.7.1: Hardware
  • 1.7.2: Brain
  • 1.7.3: Maintenance
  • 1.7.4: Mobility
  • 1.7.5: Infrastructure
  • 1.7.6: Connectivity
  • 1.7.7: Data gathering interval
  • 1.7.8: Data security in the agriculture industry
  • 1.8: Limitations of Smart Agriculture
  • 1.9: Future Trends in Smart Agriculture
  • 1.9.1: The Internet of food things (IoFT)
  • 1.9.2: Advanced green revolution
  • 1.9.3: Biologically edited crops
  • 1.9.4: The robot farmers
  • 1.9.5: The automated greenhouse effect technology
  • 1.9.6: Climate smart agriculture
  • 1.10: Conclusion
  • References
  • Chapter 2: Modern Agriculture Farming: Rack and Pinion Mechanism-based Remote Controlled Seed Sowing Robot
  • 2.1: Introduction
  • 2.1.1: Traditional sowing method
  • 2.1.2: Problem statement
  • 2.1.3: Objectives
  • 2.1.4: Literature survey
  • 2.2: Proposed Work
  • 2.2.1: Block diagram
  • 2.2.2: Design of robot
  • 2.2.3: Seed sowing mechanism
  • 2.2.4: Dispensing of seeds
  • 2.2.5: TIVA C series
  • 2.2.6: BoosterPacks
  • 2.2.7: Software used: ENERGIA integrated development environment (IDE)
  • 2.2.8: Components used
  • 2.2.9: Performance analysis
  • 2.3: Conclusion
  • Acknowledgements
  • References
  • Chapter 3: Crop Management System
  • 3.1: Introduction
  • 3.2: Insights of Deep Learning
  • 3.3: Crop Management System: A Deep Learning Approach
  • 3.3.1: Soil health monitoring system
  • 3.3.2: Sorting of seeds based on deep learning
  • 3.3.3: Seed sowing using deep learning
  • 3.3.4: Smart irrigation system using deep learning
  • 3.3.5: Crop growth recognition using deep learning
  • 3.3.6: Fertilizer estimation using deep learning
  • 3.3.7: Crop harvesting using deep learning
  • 3.3.8: Crop recommendation system using deep learning
  • 3.4: Scope and Challenges in Crop Management System
  • 3.4.1: Role of artifcial intelligence in smart farming
  • 3.4.2: Farmers challenges in adopting new technologies
  • 3.4.3: Challenges in deep learning

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