Preface xxiii 1 Introduction to Smart Farming: Definition, Importance and Trends 1 Manoj Kumar Mahto, Santosh Kumar Srivastava and Basant Sah 1.1 Introduction 2 1.2 Smart Farming 3 1.3 Internet of Things 6 1.4 Technologies Used in Smart Farming 8 1.5 Importance of Smart Farming 13 1.6 Role of IoT in Advanced Farming Practices 20 2 Overview of Robotics in Agriculture: Types and Applications 29 Praveen Kantha, Durgesh Srivastava, Santosh Kumar Srivastava, Sunil Kr. Maakar and Basant Sah 2.

1 Introduction 30 2.2 Background 31 2.3 Types of Robotics in Agriculture 35 2.4 Applications of Robotics in Agriculture 41 2.5 Advantages of Robotics in Agriculture 43 2.6 Limitations of Robotics in Agriculture 44 2.7 Future of Robotics in Agriculture 45 2.8 Case Studies and Examples 47 2.

9 Implications and Recommendations 52 2.10 Conclusion 53 3 Digital Farming: The New Era of Agriculture-Opportunities and Challenges 57 Anju Khandelwal and Avanish Kumar 3.1 Introduction 58 3.2 Tools and Methods Used in Digital Farming 61 3.3 Pandemic Effects on Traditional Farming 65 3.4 New Scope at Digital Farming 67 3.5 Challenges or Difficulties for Digital Farming 70 3.6 Future Scope and Benefits 71 4 Challenges and Barriers to Smart Farming Adaptation: A Technical, Economic, and Social Perspective 75 Shivam Tiwari, Barkha Bhardwaj, Deepak Arora and Sabita Khatri 4.

1 Introduction 76 4.2 Technical Challenges in Smart Farming Adaptation 78 4.3 Economic Barriers to Smart Farming Implementation 83 4.4 Social Obstacles to Smart Farming Adoption 89 4.5 Environmental Considerations in Smart Farming 93 4.6 Future Prospects for Smart Farming 98 4.7 Conclusion and Recommendations 104 5 Sustainable Development in Agriculture: Soil Management 113 Shivani Dubey, Rishav Yadav, Vikas Singhal and Anoop Dixit 5.1 Introduction 114 5.

2 Reviewing the Need for Global Food Production to be Upgraded 116 5.3 Soil Quality and Its Impact 119 5.4 Emerging Technologies 121 5.5 Introduction and Theory of IoT 126 5.6 Several Sensors and How They are Used in Agriculture 130 5.7 Centralized Agriculture System 134 5.8 Conclusion 136 6 Concepts of Robotics, AI, and Internet of Things (IoT) in Agriculture 143 Devesh Kumar Bandil and Pankaj Rahi 6.1 Introduction 144 6.

2 General Challenges Faced in the Agriculture Industry 145 6.3 Role of Robotics, AI, and IoT in Agriculture 148 6.4 Benefits of Robotic and AI in Improving Agriculture 150 6.5 Collecting Data and Performing Analyses With the Help of the Internet of Things 151 6.6 Relationships of IoT and AI Strengthen the Agriculture Sector 153 6.7 Benefits of IoT in Agriculture 154 6.8 The Role of AI in Tomorrow''s Farming 155 6.9 Robots in Agriculture--Perceptions and Pros, Cons 160 6.

10 Complications Associated With Robots Used in Agriculture 163 6.11 Conclusion 166 7 Data Analytics in Agriculture: Predictive Models and Real-Time Decision-Making 169 Raman Kumar, Harpreet Kaur Channi and Harish Kumar Banga 7.1 Introduction 170 7.2 Data Collection and Management in Agriculture 172 7.3 Challenges in Collecting and Managing Agricultural Data 178 7.4 Strategies for Effective Data Collection and Management 178 7.5 Predictive Models in Agriculture 180 7.6 Applications of Predictive Models in Agriculture 182 7.

7 Real-Time Decision-Making in Agriculture 183 7.8 Integration of Predictive Models and Real-Time Decision Making in Agriculture 188 7.9 Future of Data Analytics in Agriculture 192 7.10 Concluding Remarks 195 7.11 Future Directions for Research and Practice 195 8 Examining the Role of IoT and AI in Revolutionizing Agriculture: A Smart Farming Approach 201 Santosh Kumar Srivastava, Manoj Kumar Mahto, Sheo Kumar, Deepak Kumar Verma and Hare Ram Singh 8.1 Introduction 202 8.2 IoT in Agriculture 203 8.3 Major Advantages of Using IoT in Agriculture 208 8.

4 Major Disadvantages of Using IoT in Agriculture 209 8.5 AI in Agriculture 210 8.6 Benefits of Drones in Agriculture 212 8.9 Combination of AI and IoT 217 8.10 Automatic Irrigation 219 8.11 Crop Health Monitoring 221 8.12 Supply Yields to the Demanded Areas 221 8.13 Conclusion 223 9 Smart AgriTech: Sensors & Networks 227 Bikram Kar and Amit Kumar 9.

1 Introduction 228 9.2 IoT in Agriculture 230 9.3 Utilization of Sensor-Based IoT Devices in the Agricultural Sector 233 9.4 Networks for IoT in Agriculture 243 9.5 Communication Protocols Used in Agriculture 247 9.6 Case Studies and Examples of IoT Applications in Agriculture 251 9.7 The Future of IoT in Agriculture 252 9.8 Conclusion 254 10 Internet of Things in Agriculture: Sensor, Network and Communication Protocol 261 Rajeev Kumar, Surinder Singh and Prem Prakash 10.

1 Introduction 262 10.2 IoT in Agriculture 263 10.3 Physical Design of IoT Architecture 265 10.4 IoT Network Levels and Stages 267 10.5 Characteristics of IoT 268 10.6 IoT Enabling Technology 270 10.7 IoT Challenges 273 10.8 IoT Communication Protocol 275 10.

9 Sensors for IoT-Based Smart Agriculture 279 10.10 Sensor Interfacing and Control 290 10.11 Conclusion 305 11 An Irrigation System: Design, Implementation, and Benefits 309 Shilpa Mahajan 11.1 Introduction 310 11.2 Smart Irrigation Composition 310 11.3 Advantages of Intelligent Irrigation Systems 316 11.4 Irrigation Methods 317 11.5 Review on Smart Irrigation Systems 321 11.

6 Smart-Based Irrigation Techniques for Urban and Rural Areas 324 11.7 Barriers of Smart Irrigation Systems 325 11.8 Conclusion 326 12 Implementation of Smart Irrigation Systems 329 Jabar H. Yousif, Ghassan Al-Kindi, Ahmad. K. Kayed and Durgesh K. Srivastava 12.1 Introduction 330 12.

2 Literature Survey 332 12.3 Irrigation System Design 335 12.4 Irrigation System Implementation Benefits 336 12.5 Irrigation System Benefits 343 12.6 Results and Discussion 343 12.7 Conclusion 347 13 Smart Plant-Based Wastewater Treatment for Agricultural Irrigation Systems 351 Rituparna Saha and Amit Biswas 13.1 Introduction 352 13.2 Water Quality Parameters for Agricultural Irrigation 354 13.

3 Wetland Method for Wastewater Treatment 357 13.4 Importance of Artificial Intelligence in Wastewater Treatment 359 13.5 Economic Feasibility of Smart Plant-Based Treatment for Agricultural Irrigation 362 13.6 Challenges Associated with Artificial Intelligence Application in Wastewater Treatment 364 13.7 Conclusion 366 14 Drones in Agriculture: Mapping, Monitoring, and Decision-Making 373 Umangkumar B. Zalavadiya 14.1 Introduction 374 14.2 Opportunities 375 14.

3 Drone Mapping for Transforming Agriculture 376 14.4 Significance of Drone Monitoring in Precision Agriculture 378 14.5 Leveraging Drone for Real-Time Decision -Making in Agriculture 381 14.6 Common Usages of Agricultural Drones 382 14.7 Challenges 388 14.8 Summary and Scope 389 14.9 Conclusion 389 15 Investigation of Banana Plant Disease Detection Using Transfer Learning 393 R. Karthickmanoj and S.

Aasha Nandhini 15.1 Introduction 394 15.2 Literature Survey 395 15.3 Transfer Learning 404 15.4 Methodology 404 15.5 Result and Discussion 408 15.6 Conclusion 414 16 Exploring Dataset for Apple Leaf Disease Detection: A Focus on Horticulture 419 Anupam Bonkra, Sunil Pathak and Amandeep Kaur 16.1 Introduction 419 16.

2 Literature Review 426 16.3 Apple Leaf Disease Detection Mechanism 427 16.4 Significance of Dataset 428 16.5 Discussion 437 16.6 Conclusion 438 17 Optimizing Crop Yield Prediction Using Machine Learning Algorithms 443 Rejuwan Shamim and Trapty Agarwal 17.1 Introduction 444 17.2 Related Work 448 17.3 Methodology 450 17.

4 Machine Learning Algorithms for Crop Yield Prediction 456 17.5 Experimental Results and Analysis 466 17.6 Optimization Techniques 472 17.7 Challenges and Future Directions 478 17.8 Conclusion 481 18 Analyzing Smart Farming Technologies: A Study on Indian Farmers'' Adoption Trends 489 Nilesh Tejrao Kate, Upasana Acharya and Chandraprabha Vaidya 18.1 Introduction 490 18.2 Research Methodology 491 18.3 Objectives 492 18.

4 Literature Review 492 18.5 Data Analysis 495 18.6 Key Findings 498 18.7 Discussions and Recommendations 500 18.8 Conclusion 502 19 Leveraging Linear Regression Model to Address Food Insecurity in the United States: A Smart Agritech Approach 505 Anoushka Tomar, Shivani Dubey, Vikas Singhal and Ajay Kumar Sahu 19.1 Introduction 506 19.2 Literature Review 506 19.3 Data Sources 510 19.

4 Preprocessing 510 19.5 Data Dictionary 513 19.6 Exploratory Data Analysis 515 19.7 Feature Engineering 532 19.8 Prediction.