"Agriculture is one of the most fundamental human activities. It has kept humans happier and healthier and helped birth modern society as we know it. As farming has expanded, however, the usage of resources such as land, fertilizer, and water has grown exponentially. Environmental pressures from modern farming techniques have stressed our natural landscapes. Still, by some estimates, worldwide food production will need to increase 70% by 2050 to keep up with global demand. With global populations rising,it falls to technology to make farming processes more efficient and keep up with the growing demand. Fortunately, Machine Learning (ML) and the Internet of Things (IoT) can play a very promising role in the agricultural industry. Some examples include: an AI-powered drone to monitor the field, an IoT-designed automated crop watering system, sensors embedded in the field to monitor temperature and humidity, etc. The agriculture industry is the largest in the world, but when it comes to innovation there isa lot more to explore. IoT devices can be used to analyze the status of crops. For instance, with soil sensors, farmers can detect any irregular conditions such as high acidity and efficiently tackle these issues to improve their yield. In this book, we will point out the challenges facing the agro-industry that can be addressed by ML and IoT and explore the impacts of these technologies in the agriculture sector"--
Author(s): Vishal Jain, Jyotir Moy Chatterjee
Series: Computer Science, Technology and Applications
Publisher: Nova Science Publishers
Year: 2022
Language: English
Pages: 254
City: New York
Contents
Preface
Acknowledgments
Chapter 1
Smart Farming Enabling Technologies: A Systematic Review
Abstract
Introduction
Review of Artificial Intelligence
Review of IoT
Components of Smart Farming
Applications of Artificial Intelligence and IoT in Smart Farming
Conclusion
References
Chapter 2
Internet of Things Platform for Smart Farming
Abstract
1. Agriculture
2. Agriculture Process
3. Challenges in Traditional Agriculture
4. Technological Development in Agriculture
5. How Is the Internet of Things?
6. IoT Helpful to Agriculture
7. Role of IoT in Farming
8. Applications
9. The IoT Technology
10. Challenges Faced in the Agricultural Sector by IoT
11. How Beneficial IoT Technique in the Agricultural Sector?
12. Disadvantages of IoT in Agriculture
13. Impact of IoT on Agriculture
14. Future of IoT in Agriculture
References
Chapter 3
Internet of Things for Smart Farming
Abstract
1. Introduction
2. Literature Survey
3. IoT Ecosystem
3.1. Advantages of IoT
3.2. Disadvantages of IoT
4. IoT in Agriculture
5. Structure of IoT in Agriculture
5.1. Sensor Layer
5.2. Transport Layer
5.3. Application Layer
6. How IoT Can Be Used for Smart Farming
7. Methodology
7.1. Proposed Model
8. Limitations
9. Future Scope
Conclusion
References
Chapter 4
A Comprehensive Review on Intelligent Systems for Mitigating Pests and Diseases in Agriculture
Abstract
1. Introduction
2. Intelligent Technologies Applied in Agriculture
2.1. Machine Learning
2.1.1. Supervised Learning
2.1.2. Unsupervised Learning
2.2. Deep Learning
2.3. Internet of Things
3. Literature Review
4. Disease Prediction
4.1. Leaf Disease Prediction
4.2. Weed Identification
Conclusion
References
Chapter 5
Plant Disease Detection Using Image Sensors: A Step towards Precision Agriculture
Abstract
Introduction
Various Image Sensors
RGB Image Sensors
Thermal Sensors
Hyperspectral and Multispectral Image Sensors
Combination of Different Imaging Methods
Future Prospects
Acknowledgments
References
Chapter 6
Recent Trends in Agriculture Using IoT, Challenges and Opportunities
Abstract
Introduction
Internet of Things
Agriculture Based IoT
Sensor Network Based on Agriculture
Applications of Various Sectors
Conclusion
References
Chapter 7
Early Detection of Infection/Disease in Agriculture
Abstract
Introduction
Literature Survey
Proposed Work
Analysis
Conclusion
References
Chapter 8
Application of Agriculture Using IoT: Future Perspective for Smart Cities Management 5.0
Abstract
1. Introduction
1.1. Water Crisis in the World
1.2. Global Warming and Its Impact on Agriculture
1.3. Need for Water Conservation
1.4. Smart Irrigation Devices
1.5. IoT and Smart Irrigation
1.6. Use of AI and ML in Agriculture
1.7. Sensor-Based Irrigation and its Significance
1.8. Existing Smart Irrigation Systems in the Market
2. Literature Review
3. Components Used
3.1. Arduino System
3.2. Sensors Used in Our Research Work
3.2.1. Soil Moisture Sensor
3.2.2. Temperature and Humidity Sensor
3.2.3. Rainfall Sensor
4. Proposed System
5. Android Mobile Applications for Smart Irrigation
5.1. Main Page
5.2. Snapshot of Working Model (ICs and Working model)
6. Novelty
7. Future Research Work
8. Limitations
Conclusion
References
Chapter 9
The Internet of Things (IoT) for Sustainable Agriculture
Abstract
Introduction
ICT in Agriculture
Internet of a Thing (IoT) in Agriculture and Allied Sector
Geo-Spatial Technology
Summary and Conclusion
References
Chapter 10
IoT Based Data Collection and Data Analytics Decision Making for Precision Farming
Abstract
Introduction
Existing Technological Intervention in Agriculture
Farming Data Collection with IoT
Better Regulation
Cost Management and Spend Decrease
Data Management
Increased Product Quality and Amount
Increased Business Efficiency
The Proposed Method
Automated Decision Making with Data Analytics
Finding Popular Pest Data, for Instance 0x001 [African Bug]
Pest Classification
Pest Detection
Conclusion
References
About the Editors
Index
Blank Page
