List of Figures xv List of Tables xix Preface xxi 1 A Critical Review of Ethical Challenges in the Use of Deep Learning, Blockchain, and Big Data in Agriculture 1 Kirti Nahak, Anurag Shrivastava, Sheela Hundekari, Qasem AlAttaby, Lavish Kansal and Saloni Bansal 1.1 Introduction 2 1.2 Related Works 4 1.3 Background and Theoretical Framework 5 1.4 Ethical Challenges Identified 7 1.5 Results 8 1.6 Discussion 9 1.7 Conclusion 11 References 12 2 Agriculture Supply Chain Management System Using Blockchain 15 Harshvardhan Chunawala, Mohammed Ihsan, R.
V.S. Praveen, Nandini Shirish Boob, H. Pal Thethi and Arti Badhoutiya 2.1 Introduction 16 2.2 Related Works 18 2.3 Methods and Materials 21 2.4 Results 22 2.
5 Discussion 24 2.6 Conclusion 24 References 25 3 Crop Product Health Management System Using DL, Precision Irrigation System Using Internet of Things and DL/ML 27 Anurag Shrivastava, Sheela Hundekari, R.V.S. Praveen, Haideer Alabdeli, Vikrant Vasant Labde and Saloni Bansal 3.1 Introduction 28 3.2 Related Works 30 3.2.
1 Deep Learning for Monitoring Crop Health 30 3.2.2 IoT-Based Precision Irrigation Systems 30 3.2.3 Artificial Intelligence-Based Forecast of Crop Yield 31 3.3 Methodology 31 3.4 Result 33 3.5 Discussion 35 3.
6 Conclusion 36 Bibliography 36 4 Soil Nutrient Analysis and Optimization Using DL/ML Techniques 39 S. Selvaraju, S. Thangamayan, Sornalakshmi R.R. and Krishnamoorthy S. 4.1 Introduction 40 4.2 Related Works 42 4.
2.1 Deep Learning for Soil Texture Classification and Nutrient Analysis 42 4.2.2 Machine Learning-Based Soil Nutrient Prediction and Optimization 43 4.2.3 IoT-Enabled Real-Time Soil Monitoring 43 4.2.4 Blockchain and AI Integration for Soil Data Management 44 4.
3 Methods and Materials 44 4.4 Result 45 4.5 Discussion 47 4.6 Conclusion 47 References 48 5 Weather Forecasting and Crop Yield Prediction Using AI/ML Models 51 S. Thangamayan, Murugan Ramu and S. Selvaraju 5.1 Introduction 52 5.2 Related Works 54 5.
2.1 AI-Based Weather Forecasting Approaches 54 5.2.2 Crop Yield Prediction Using AI and ml 55 5.3 Methods and Materials 56 5.4 Results 57 5.5 Discussion 59 5.6 Conclusion 61 References 62 6 Fertilizer Quality Ensure Certification Using Blockchain 65 Harshvardhan Chunawala, Raed Alfilh, Nandini Shirish Boob, Manish Gupta, Vamsi Krishna Chidipothu and Rishabh Chaturvedi 6.
1 Introduction 66 6.2 Related Works 67 6.3 Methods and Materials 70 6.4 Results 70 6.5 Discussion 73 6.6 Conclusion 74 References 74 7 Leaf Health Classification Using Deep Learning and Machine Learning Approaches 77 Kireet Muppavaram, P. Jyothi, Diana George, Ajith Sundaram, Sivaram Murugan and V. Porkodi 7.
1 Introduction 78 7.2 Related Works 80 7.3 Methods and Materials 81 7.3.1 Data Collection 81 7.3.2 Preprocessing 81 7.3.
3 Feature Extraction and Model Development 82 7.3.4 Model Training and Evaluation 82 7.3.5 Hybrid Model Integration and Comparative Analysis 82 7.3.6 Deployment Considerations and Optimization 82 7.4 Result 83 7.
5 Discussion 85 7.6 Conclusion 86 References 86 8 Pest Detection in Plants Using Advanced Deep Learning Techniques 89 Kayal Padmanandam, Shravan M. B., Y. Divya, Ajith Sundaram, S. Athinarayanan and Kavitha Ramachandran 8.1 Introduction 90 8.2 Related Works 91 8.
3 Methods and Materials 93 8.4 Result 95 8.5 Discussion 96 8.6 Conclusion 97 References 98 9 A Technological Turn in Agriculture: Digital Pathways and Innovations 101 Padmapriya S.S., C. Jayamala and B. Lavaraju 9.
1 Introduction 102 9.2 Literature Survey 103 9.3 Methodology 106 9.3.1 Define Scope of Research 106 9.3.2 Collection of Literature 106 9.3.
3 Bibliometric & Content Review 106 9.3.4 Case Study Selection 106 9.3.5 Stakeholder Survey 107 9.3.6 Data Analysis 107 9.3.
7 Develop Framework/Model 107 9.3.8 Validation & Feedback 107 9.3.9 Final Reporting 107 9.4 Results 108 9.5 Discussion 110 9.6 Conclusion 111 References 111 10 Smart Crop Health Monitoring and Precision Irrigation with IoT-Driven Systems 115 Prem Kumar Sholapurapu, Raami Riadhusin, R.
V.S. Praveen, Nandini Shirish Boob, Navdeep Singh and Jitendra Gudainiyan 10.1 Introduction 116 10.2 Related Works 118 10.3 Methods and Materials 120 10.3.1 System Architecture Design 121 10.
3.2 Sensor Selection 121 10.3.3 Communication Setup 121 10.3.4 Predictive Analytics 121 10.3.5 Field Trials and Evaluation 121 10.
4 Result 122 10.5 Discussion 124 10.6 Conclusion 124 References 125 11 Integrating IoT, Sensors, and Machine Learning for Enhancing Crop Yield and Irrigation Efficiency Systems 127 Kunal Dhaku Jadhav 11.1 Introduction 128 11.2 Related Works 129 11.2.1 Agricultural Machine Learning 130 11.2.
2 Disease Detection and Crop Monitoring Enabled by IoT 130 11.2.3 Intelligent Water Efficiency Irrigation Systems 131 11.2.4 Blockchain for Farm Data Security 131 11.2.5 Energy-Efficient Solutions in IoT-Driven Farming 132 11.2.
6 Developing Patterns and Future Directions 132 11.3 Methods and Materials 132 11.4 Result 134 11.5 Discussion 136 11.6 Conclusion 137 References 138 12 Introduction to Digital Transformation in Agriculture: Trends and Opportunities 141 Dilip R., Kusumadevi G. H., Ravi Kumar H.
C., Mahadev S., Sowbhagya M. P. and Raveendra Kumar T. H. 12.1 Introduction 142 12.
2 Literature Survey 143 12.3 Methodology 146 12.3.1 Data Collection 146 12.3.2 Data Storage 146 12.3.3 Data Processing 146 12.
3.4 Decision Support 146 12.3.5 Implementation 147 12.3.6 Monitoring and Feedback 147 12.3.7 Continuous Improvement 147 12.
4 Results 148 12.5 Discussion 150 12.6 Conclusion 150 Bibliography 151 13 Smart Farming Technologies: IoT, Sensors, and Data Analytics 155 Dilip R., Nishchitha M. H., Mallika Talikoti, Kalpavi C.Y., Harshini Veronica Deepak Balaraj and Tejashwini N.
13.1 Introduction 156 13.2 Literature Survey 157 13.3 Methodology 159 13.3.1 IoT Sensors 159 13.3.2 Data Collection 159 13.
3.3 Data Analytics and Machine Learning 160 13.3.4 Decision-Making 160 13.3.5 Agricultural Processes 161 13.4 Results 161 13.5 Discussion 163 13.
6 Conclusion 163 References 164 14 Artificial Intelligence and Machine Learning Applications in Precision Agriculture 167 Charanjeet Singh, R.V.S. Praveen, Hari Krishna Vemuri, Satya Subramanya Sai Ram Gopal Peri, Anurag Shrivastava and Saif O. Husain 14.1 Introduction 168 14.2 Literature Survey 169 14.3 Methodology 171 14.
3.1 Smart Farming 171 14.3.2 Sensor Data Collection 171 14.3.3 Data Preprocessing 171 14.3.4 Machine Learning and AI Models 172 14.
3.5 Prediction and Decision Making 172 14.3.6 Resource Optimization 173 14.4 Results 173 14.5 Discussion 175 14.6 Conclusion 176 References 176 15 Big Data and Cloud Computing for Agricultural Decision Support 179 Shikhar Sharma 15.1 Introduction 180 15.
2 Literature Survey 181 15.3 Methodology 183 15.3.1 IoT Sensors 183 15.3.2 Data Collection & Transmission 183 15.3.3 Cloud Computing Infrastructure 183 15.
3.4 Data Processing & Analysis 184 15.3.5 Big Data Analytics & Artificial Intelligence 184 15.3.6 Decision Support in Agriculture 184 15.4 Results 186 15.5 Discussion 187 15.
6 Conclusion 188 References 188 16 Cybersecurity Threats in Digital Agriculture: An Emerging Concern 191 Pranjal Sharma 16.1 Introduction 192 16.2 Literature Survey 192 16.3 Methodology 194 16.3.1 Data Collection & Preprocessing 194 16.3.2 Cyber Threat Analysis 194 16.
3.3 AI-Based Threat Detection 195 16.3.4 Development & Testing of Cybersecurity Strategy 195 16.4 Results 196 16.5 Discussion 198 16.6 Conclusion 199 References 199 17 Risk Assessment and Cybersecurity Strategies for Agricultural Systems 203 Keerthna. G.
, C. Jayamala and B. Lavaraju 17.1 Introduction 204 17.2 Literature Survey 205 17.3 Methodology 207 17.3.1 Data Review 207 17.
3.2 Identification of Cybersecurity Threats 208 17.3.3 Cybersecurity Model Development 208 17.3.4 Implementation and Evaluation 208 17.4 Results 209 17.5 Discussion 211 17.
6 Conclusion 212 References 212 18 Blockchain Technology for Traceability and Security in Agri-Food Supply Chains 215 Shalini. R., U. Marimuthu and Anju Mohan 18.1 Introduction 216 18.2 Literature Review 217 18.3 Methodology 219 18.3.
1 Data Collection 219 18.3.2 Data Processing 219 18.3.3 Blockchain Integration 21.