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Internet of Things and Analytics for Agriculture, Volume 3

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Cover of 'Internet of Things and Analytics for Agriculture, Volume 3'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Functional Framework for IoT-Based Agricultural System
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    Chapter 2 A Review on Advances in IoT-Based Technologies for Smart Agricultural System
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    Chapter 3 Artificial Intelligence in Agri-Food Systems—An Introduction
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    Chapter 4 Intelligent Agro-Food Chain Supply
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    Chapter 5 Machine Learning Approaches for Agro IoT Systems
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    Chapter 6 AI-Based Yield Prediction and Smart Irrigation
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    Chapter 7 IoT Enabled Technologies in Smart Farming and Challenges for Adoption
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    Chapter 8 IoT Based Agricultural Business Model for Estimating Crop Health Management to Reduce Farmer Distress Using SVM and Machine Learning
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    Chapter 9 Rice and Potato Yield Prediction Using Artificial Intelligence Techniques
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    Chapter 10 Socioeconomic Impact of IoT on Agriculture: A Comparative Study on India and China
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    Chapter 11 The Impact of Irrigation on Generation of Marketable Surplus in the Bolpur Subdivision, West Bengal
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    Chapter 12 A Farmer-Friendly Connected IoT Platform for Predicting Crop Suitability Based on Farmland Assessment
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    Chapter 13 Smart Farming with IoT: A Case Study
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    Chapter 14 Blockchain Solutions for Agro-Food Chain Systems
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    Chapter 15 Efficiency and Reliability of IoT in Smart Agriculture
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    Chapter 16 Architecture, Security Vulnerabilities, and the Proposed Countermeasures in Agriculture-Internet-of-Things (AIoT) Systems
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    Chapter 17 Protocols, Solutions, and Testbeds for Cyber-Attack Prevention in Industrial SCADA Systems
Attention for Chapter 7: IoT Enabled Technologies in Smart Farming and Challenges for Adoption
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Chapter title
IoT Enabled Technologies in Smart Farming and Challenges for Adoption
Chapter number 7
Book title
Internet of Things and Analytics for Agriculture, Volume 3
Published by
Springer, Singapore, January 2022
DOI 10.1007/978-981-16-6210-2_7
Book ISBNs
978-9-81-166209-6, 978-9-81-166210-2
Authors

Kumar, Rajesh, Sinwar, Deepak, Pandey, Amit, Tadele, Tesfaye, Singh, Vijander, Raghuwanshi, Ghanshyam

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 9%
Student > Doctoral Student 3 7%
Student > Bachelor 2 5%
Professor 2 5%
Professor > Associate Professor 2 5%
Other 7 16%
Unknown 23 53%
Readers by discipline Count As %
Engineering 6 14%
Computer Science 5 12%
Business, Management and Accounting 3 7%
Agricultural and Biological Sciences 2 5%
Social Sciences 2 5%
Other 1 2%
Unknown 24 56%