List of Contributors xxi
Preface xxiii
Part I Foundations of AI in Environmental Management 1
1 Application of AI in Environmental Sustainability 3
Pawan Whig, Shashi Kant Gupta, Rahul Reddy Nadikattu, and Pavika Sharma
1.1 Introduction 3
1.2 AI Applications in Environmental Monitoring 6
1.3 AI in Climate Change Mitigation 9
1.4 AI in Resource Management 13
1.5 AI in Biodiversity Conservation 17
1.6 AI in Sustainable Urban Planning 21
1.7 Ethical and Governance Considerations 25
1.8 Challenges and Future Prospects 33
1.9 Conclusion 38
References 38
2 The Role of AI in Environmental Research and Sustainability 43
Iti Batra, Seema Nath Jain, Nikhitha Yathiraju, and Kavita Mittal
2.1 Introduction 43
2.2 AI Applications in Environmental Monitoring 46
2.3 AI in Natural Resource Management 50
2.4 AI for Biodiversity and Ecosystem Conservation 53
2.5 AI in Urban Sustainability 56
2.6 Reducing Environmental Footprints with AI 59
2.7 Ethical Considerations in AI-Driven Environmental Research 62
2.8 Case Study 65
2.9 Conclusion 67
References 68
3 AI and Environmental Data Science 71
Ashima Bhatnagar Bhatia, Meghna Sharma, and Bhupesh Bhatia
3.1 Introduction 71
3.2 Fundamentals of Artificial Intelligence 74
3.3 Environmental Data Science 76
3.4 AI Applications in Environmental Science 80
3.5 Case Studies 83
3.6 Challenges and Limitations 86
3.7 Case Study 88
3.8 Future Directions 91
3.9 Conclusion 94
References 95
Part II AI in Natural Resource Management 99
4 Application of AI for Natural Source Management 101
Pawan Whig, Rahul Reddy Nadikattu, Shashi Kant Gupta, and Shrikaant Kulkarni
4.1 Introduction 101
4.2 AI Technologies in NRM 103
4.3 Applications of AI in Specific Natural Resource Sectors 106
4.4 Case Studies 108
4.5 Challenges and Limitations 110
4.6 Future Directions 112
4.7 Case Study: Application of AI in NRM 114
References 117
5 Future Prospects of AI for Management of Natural Resources 121
Meghna Sharma, Ashima Bhatnagar Bhatia, and Bhupesh Bhatia
5.1 Introduction 121
5.2 Overview of AI Technologies 123
5.3 AI in Water Management 125
5.4 AI in Forestry 127
5.5 AI in Agriculture 129
5.6 AI in Biodiversity Conservation 131
5.7 Challenges and Barriers to AI Implementation 134
5.8 Case Study 136
5.9 Conclusion 139
References 139
Part III AI Models for Climate Change Mitigation and Adaptation 143
6 AI in Climate Change Prediction 145
Seema Sharma, Anupriya Jain, Sachin Sharma, and Sonia Duggal
6.1 Introduction 145
6.2 AI Technologies in Climate Prediction 148
6.3 AI Applications in Climate Science 150
6.4 AI for Climate Mitigation and Adaptation 152
6.5 Case Studies 155
6.6 Case Study: IBMâs Green Horizon Project for Air Quality Prediction 156
References 159
7 AI-Driven Environmental Real-Time Monitoring, and Screening 163
Kavita Mittal, Rahul Reddy Nadikattu, Pawan Whig, and Iti Batra
7.1 Introduction 163
7.2 Understanding AI in Environmental Monitoring 166
7.3 Applications of AI in Real-Time Environmental Monitoring 168
7.4 AI Techniques for Screening Environmental Data 171
7.5 Case Studies of AI-Driven Environmental Monitoring 174
7.6 Challenges in Implementing AI for Environmental Monitoring 177
7.7 Case Study 180
7.8 Implementation of the AI System 180
7.9 Quantitative Analysis 180
7.10 Conclusion 181
References 182
8 AI-Driven Environmental Problem Design for Sustainable Solutions 185
Rattan Sharma, Pawan Whig, and Shashi Kant Gupta
8.1 Introduction 185
8.2 AI Technologies and Techniques 188
8.3 AI in Real-Time Monitoring Systems 191
8.4 Environmental Problem Design Using AI 192
8.5 AI for Resource Management and Efficiency 193
8.6 AI-Driven Solutions for Carbon Footprint Reduction 194
8.7 Case Studies: AI Applications in Waste Management and Energy Conservation 195
8.8 Case Study 203
8.9 Conclusion 205
8.10 Conclusion 207
References 208
9 AI in Soil Health Management for Health Food Production 211
Rashmi Gera and Anupriya Jain
9.1 Introduction 211
9.2 Understanding Soil Health 213
9.3 AI Technologies in Soil Health Management 215
9.4 AI Applications in Soil Health Management 216
9.5 Case Studies 218
9.6 Case Study 219
References 222
Part IV AI in Pollution Control and Waste Management 225
10 AI for Evaluation of the Impacts of Environmental Pollution on Human Health 227
Anumaan Whig, Vaibhav Gupta, and Pawan Whig
10.1 Introduction 227
10.2 Case Studies: Respiratory and Cardiovascular Diseases Linked to Air Pollution 233
10.3 Case Studies 240
10.4 Case Study 243
References 249
11 Artificial Intelligence for Air/Water Quality Prediction 253
Shashi Kant Gupta, Ashima Bhatnagar Bhatia, Vinay Aseri, and Shrikaant Kulkarni
11.1 Introduction 253
11.2 Monitoring Waterborne Pollutants 274
11.3 Case Studies and Applications 276
11.4 Challenges and Limitations 279
11.5 Case Study 282
11.6 Conclusion 285
References 285
12 AI Technology for Protection of Water Supplies from Contamination to Produce Healthy Foods 289
Sonia Duggal and Anupriya Jain
12.1 Introduction 289
12.2 Water Contamination and its Impact on Food Production 292
12.3 AI Technologies for Water Quality Monitoring 296
12.4 AI-Driven Water Management in Agriculture 301
12.5 Case Studies 305
12.6 AI in Precision Irrigation for Water Contamination Prevention 307
12.7 Challenges and Limitations 307
12.8 Data Quality and Availability 308
12.9 Regulatory and Ethical Considerations 310
12.10 Case Study 312
12.11 Future Directions in AI for Water and Food Safety 314
References 319
13 AI in Waste Management Technologies for Sustainable Agriculture 323
Nikhitha Yathiraju, Meghna Sharma, and Sonia Duggal
13.1 Introduction 323
13.2 AI Applications in Agricultural Waste Management 325
13.3 Challenges and Future Prospects 326
13.4 Types of Agricultural Waste 327
13.5 Impact of Improper Waste Management on the Environment 328
13.6 AI Technologies in Waste Management 330
13.7 AI Applications in Agricultural Waste Management 332
13.8 Benefits of AI in Sustainable Agriculture 335
13.9 Case Study: Implementation of AI in Agricultural Waste Management for Sustainable Agriculture 338
References 342
14 The Internet of Things (IoTs) for Environmental Pollution 345
Pushan Kumar Dutta, Pawan Whig, Shashi Kant Gupta, and Vinay Aseri
14.1 Introduction 345
14.2 Geospatial Information Systems (GIS) in Environmental Pollution 348
14.3 Remote Sensing (RS) in Pollution Monitoring 352
14.4 Atmospheric Pollution Detection 354
14.5 Water Pollution Detection 354
14.6 Soil and Land Pollution 354
14.7 Internet of Things (IoT) in Environmental Pollution Management 357
14.8 Integration of GIS, RS, and IoT for Pollution Control 361
14.9 Applications and Case Studies 366
14.10 Advantages and Challenges 369
14.11 Case Study: Smart Environmental Monitoring in Barcelona, Spain 372
14.12 Policy Implications and Environmental Management 375
References 378
Index 383
