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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

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    Book Overview
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    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
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Title
Internet of Things and Analytics for Agriculture, Volume 3
Published by
Springer Singapore, December 2021
DOI 10.1007/978-981-16-6210-2
ISBNs
978-9-81-166209-6, 978-9-81-166210-2
Editors

Pattnaik, Prasant Kumar, Kumar, Raghvendra, Pal, Souvik

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