Agricultural Informatics : automation using the IoT and machine learning / Amitava Choudhury [and three others].

Format:

Book

Author/Creator:

Choudhury, Amitava, author.

Series:

Advances in Learning Analytics for Intelligent Cloud-IoT Systems Ser

Language:

English

Subjects (All):

Agriculture--Data processing.

Agriculture.

Physical Description:

1 online resource (304 pages).

Place of Publication:

Newark : John Wiley & Sons, Inc., 2021.

Summary:

This book focuses on all these topics, including a few case studies, and they give a clear indication as to why these techniques should now be widely adopted by the agriculture and farming industries. -- Edited summary from book.

Contents:

Preface xiii 1 A

Study on Various

Machine

Learning

Algorithms and

Their Role in

Agriculture

1Kalpana Rangra

and Amitava

Choudhury 1.1

Introduction 1

1.2 Conclusions

9 2 Smart

Farming Using

Learning and IoT

13Alo Sen, Rahul

Roy and Satya

Ranjan Dash 2.1

Introduction 14

2.2 Related Work

15 2.3 Problem

Identification 22

2.4 Objective

Behind the

Integrated Agro-

IoT System 23 2.5

Proposed

Prototype of the

IoT System 23 2.6

Hardware

Component

Requirement for

the Integrated

Agro-IoT System

26 2.7

Comparative

Study Between

Raspberry Pi vs

Beaglebone

Black 30 2.8

Conclusions 31

2.9 Future Work

32 3 Agricultural

Informatics vis-a-

vis Internet of

Things (IoT): The

Scenario,

Applications and

Academic Aspects

International

Trend & Indian

Possibilities

35P.K. Paul 3.1

Introduction 36

3.2 Objectives 36

3.3 Methods 37

3.4 Agricultural

Informatics: An

Account 37 3.5

Agricultural

Informatics &

Technological

Components:

Basics &

Emergence 40

3.6 IoT: Basics

and

Characteristics

41 3.7 IoT: The

Applications &

Agriculture Areas

43 3.8

Informatics & IoT:

The Scenario 45

3.9 IoT in

Agriculture:

Requirement,

Issues &

Challenges 49

3.10

Development,

Economy and

Growth:

Informatics

Context 50 3.11

Academic

Availability and

Potentiality of IoT

in Agricultural

Informatics:

Scenario & Indian

Possibilities 51

3.12 Suggestions

60 3.13

Conclusion 60 4

Application of

Drones and IoT

to Understand Food

Supply Chain

During Post

COVID-19

67Pushan Kumar

Dutta and

Susanta Mitra 4.1

Introduction 68

4.2 Related Work

69 4.3 Smart

Production With

the Introduction

of Drones and IoT

72 4.4

Drones 75 4.5

IoT Acts as a

Backbone in

Addressing

Problems in

Agriculture 77

4.6 Conclusion

81 5 IoT and

Learning-Based

Approaches for

Real Time

Environment

Parameters

Monitoring in

Agriculture: An

Empirical Review

89Parijata

Majumdar and

Sanjoy Mitra 5.1

Introduction 90

5.2 Machine

Learning (ML)-

Based IoT

Solution 90 5.3

Motivation of the

Work 91 5.4

Literature Review

of IoT-Based

Weather and

Irrigation

Monitoring for

Precision

Agriculture 91

5.5 Literature

Review of

Learning-Based

Agriculture 92

5.6 Challenges

112 5.7

Conclusion and

Future Work 113

6 Deep Neural

Network-Based

Multi-Class

Image

Classification for

Plant Diseases

117Alok Negi,

Krishan Kumar

and Prachi Chauhan 6.1

Introduction 117

6.2 Related Work

119 6.3

Proposed Work

121 6.4 Results

and Evaluation

124 6.5

Conclusion 127 7

Deep Residual

Neural Network

for Plant Seedling

Classification

131Prachi

Chauhan,

Hardwari Lal

Mandoria and

Alok Negi 7.1

Introduction 131

7.2 Related Work

136 7.3

139 7.4 Result

142 7.5

Conclusion 144 8

Development of

IoT-Based Smart

Security and

Monitoring

Devices for

147Himadri Nath

Saha, Reek Roy,

Monojit

Chakraborty and

Chiranmay Sarkar

8.1 Introduction

148 8.2

Background &

Related Works

150 8.3

Proposed Model

155 8.4

Methodology

160 8.5

Performance

Analysis 165 8.6

Future Research

Direction 166 8.7

Conclusion 167 9

An Integrated

IoT-Based WSN

in the Field of

Indian Agriculture

System Using

Hybrid

Optimization

Technique and

171Avishek

Banerjee, Arnab

Mitra and

Arindam Biswas

9.1 Introduction

172 9.2

175 9.3

Proposed Hybrid

Algorithms (GA-

MWPSO) 177

9.4 Reliability

Optimization and

Coverage

Model 179 9.5

Problem

Description 181

9.6 Numerical

Examples,

Results and

Discussion 182

9.7 Conclusion - 183 10

Decryption and

Design of a

Multicopter

Unmanned Aerial

Vehicle (UAV) for

Heavy Lift

Operations

189Raghuvirsinh

Pravinsinh

Parmar 10.1

Introduction 190

10.2 History of

UAVs 192 10.3

Basic

Components of

Multicopter UAV

193 10.4

Working and

Control

Mechanism of

207 10.5 Design

Calculations and

Selection of

Components 210

10.6 Conclusion

218 11 IoT-

Enabled

System

Application,

Challenges and

Security Issues

223Himadri Nath

Monojit

Chakraborty and

11.1 Introduction

224 11.2

226 11.3

Challenges to

Implement IoT-

Enabled Systems

232 11.4

and Measures

240 11.5 Future

Research

Direction 243

11.6 Conclusion

244 12 Plane

Region Step

Farming, Animal

and Pest Attack

Control Using

Internet of

Things

249Sahadev Roy,

Kaushal

Mukherjee and

12.1 Introduction

250 12.2

254 12.3

257 12.4 Sensor

Connection

Using Internet of

Things 259 12.5

Placement of

Sensor in the

Field 263 12.6

Conclusion 267

References 268

Index 271.

Notes:

Description based on online resource; title from PDF title page (John Wiley & Sons, Inc., viewed February 11, 2023).

Includes index.

ISBN:

9781119769217

1119769213

9781119769231

111976923X

9781119769224

1119769221