List of Contributors xix

Preface xxiii

1 Agricultural Resilience: Water Quality and Human Well-Being 1
Tanu Taneja, B.S Bhatia, and Shalom Akhai

1.1 Introduction 1

1.2 The Nexus of Water Quality and Agriculture 2

1.3 Impact of Contaminated Water on Crop Health 2

1.4 AI-Driven Water Monitoring Systems 4

1.5 Research Gaps and Research Dimensions 6

1.6 Precision Irrigation Techniques 7

1.7 Waterborne Pathogens in Farming 8

1.8 Livestock Health and Water Safety 8

1.9 Sustainable Water Management Strategies 9

1.10 Human Health Implications 11

1.11 Significance of Research in Agricultural Water Quality 12

1.12 Conclusion 12

2 Precision Farming: A Technological Revolution for Sustainable Agriculture 25
Ashish Kumar, Prasoon Kumar Pandey, and Divya Singh

2.1 Introduction 25

2.2 Principles of Precision Farming 27

2.3 Technologies in Precision Farming 28

2.4 Role of Drones in Precision Farming 35

2.5 Benefits of Precision Farming 37

2.6 Conclusion 40

3 Precision Farming and Smart Crop Management 45
Bhavin Patel, Jitendra Bhatia, and Malaram Kumhar

3.1 Introduction 45

3.2 Related Work 46

3.3 Technologies in Precision Farming 47

3.4 Smart Crop Management Techniques 58

3.5 Mapping to Site-Specific Applications 59

3.6 Challenges and Limitations 62

3.7 Conclusion 66

4 Empowering Smart Agriculture with Artificial Intelligence 71
Shipra Raheja and Himanshi Bansal

4.1 Introduction 71

4.2 Benefits of AI in Agriculture 72

4.3 Applications of Artificial Intelligence in Agriculture 74

4.4 Part of AI Within the Farming Data Administration Cycle 76

4.5 Optimizing AI for Farming and Agrarian Forms 78

4.6 AI's Limitations with Regard to Agriculture 79

4.7 Future of AI in Agriculture 81

4.8 The Future Research of AI in Small-Scale Farming 82

5 Foundations of Agricultural AI 87
Divya Singh, Naman Agrawal, Jaya Saini, and Manoranjan Kumar

5.1 Introduction 87

5.2 Machine Learning 91

5.3 Deep Learning 91

5.4 Applications of AI in Agriculture 92

5.5 Challenges and Opportunities 94

5.6 Ethical and Social Implications 96

5.7 Current Trends and Future Directions 98

5.8 Conclusion 100

6 AI in Agriculture: A Comprehensive Exploration of Technological Transformation 105
Manya Gupta, Gargi Mishra, Supriya Bajpai, Abhinav Bhardwaj, and Milind Gautam

6.1 Introduction 105

6.2 AI Integration in Agricultural Practices 108

6.3 AI-Monitored Agricultural Parameters 110

6.4 Application Areas of AI in Agriculture 112

6.5 Limitations 120

6.6 Conclusion and Future Scope 124

7 Integrating AI and Climate-Smart Agricultural Mechanization: Strategies for Enhancing Productivity and Sustainability in a Changing Climate 133
Anil Kumar

7.1 Introduction 133

7.2 Literature Review 138

7.3 Methodology 140

7.4 Analysis 142

7.5 Future Mechanization Pathways Through Climate-Smart Technologies 153

7.6 Discussion 157

7.7 Conclusion 158

8 Harvesting Tomorrow: Exploring Real-World Applications of AI in Agriculture 163
Priya and Neha Gupta

8.1 Introduction 163

8.2 Precision Agriculture: Transforming Farming Practices 165

8.3 Crop Monitoring and Management Techniques 171

8.4 Revolutionizing Livestock Management Through AI 174

8.5 Innovations in Food Supply Chains with AI 179

8.6 Addressing Ethical and Regulatory Considerations 182

8.7 Conclusion 184

8.8 Future Directions 185

9 Smart Agriculture: Predictive Modeling of Fertilizer Requirements Using Neural Networks 189
Heet Dave and Jai Prakash Verma

9.1 Introduction 189

9.2 Related Work 190

9.3 Proposed Research Work 194

9.4 Methodology and Concepts 195

9.5 Implementation and Execution flow 197

9.6 Results 204

9.7 Discussion 206

9.8 Conclusion 206

10 Reviewing Advances in Image-Based Plant Disease Detection 209
Gautmi Tomar, Yuvraj Ahuja, Yogita Arora, and Neera Agarwal

10.1 Introduction 209

10.2 Literature Review 212

10.3 Imaging Techniques of Plant Disease 214

10.4 Critical Discussion 223

10.5 Conclusion 225

11 Leveraging ResNeXt50 and LSTM for Enhanced Plant Disease Detection: A Hybrid Model Proposal 231
Jaspreet Singh and Shashi Tanwar

11.1 Introduction 231

11.2 Literature Review 234

11.3 Research Methodology 236

11.4 A Proposed Hybrid Model Using ResNext50 & LSTM for Plant Disease Detection 240

11.5 Results and Implementation 241

11.6 Conclusion and Future Work 243

12 FarmTechAI: Artificial-Intelligence-Based Modern Farmer Management System 247
Murat Can Cardak, Muhammed Golec, and Sukhpal Singh Gill

12.1 Introduction 247

12.2 Related Works 248

12.3 FarmTechAI: Proposed System 251

12.4 Performance Evaluation and Testing 271

12.5 Legal, Social, Ethical, and Sustainability Issues 277

12.6 Conclusions and Future Work 278

13 Livestock Monitoring and Welfare 283
V. Kanakaris, E. Vrochidou, and G. A. Papakostas

13.1 Introduction 283

13.2 Benefits of Livestock Monitoring 287

13.3 Innovative Livestock Monitoring Technology Methods 288

13.4 Impact of Livestock Monitoring Methods on Welfare 298

13.5 Discussion 300

13.6 Conclusions 302

14 Smart Crop Management: Harnessing Green IoT Tomorrow 315
Shipra Raheja, Vimal Gaur, and Rachna Jain

14.1 Introduction 315

14.2 Greening Agriculture: Advancing with IoT Technology 316

14.3 Green IoT Key Components 318

14.4 Future of AI in Agriculture 324

14.5 Conclusion and Future Aspects 324

15 Current Progress of Sustainable Smart Agriculture Using Internet of Things 329
Savita Kumari Sheoran, Suraj Ranga, and Ghanapriya Singh

15.1 Introduction 329

15.2 Literature Review 331

15.3 Methodology 339

15.4 Current Status of SDGs (Global and Local) in Ranking 343

15.5 Analysis 344

15.6 Conclusions 346

Funding 346

References 346

Index 353