Note: Intro -- Foreword -- Preface -- Contents -- About the Editors -- Part I: Advanced Approaches to Sustainable Agriculture in Smallholder Farming System -- Chapter 1: Drone Technology in Sustainable Agriculture: The Future of Farming Is Precision Agriculture and Mapping -- 1 Drone Technology at a Glance -- 2 Application Areas of Drone in agriculture -- 3 Crop Health Assessment -- 4 Crop Surveillance -- 5 Monitoring Field Conditions -- 6 Spray Application -- 7 Monitoring Irrigation and Water Requirement -- 8 Scaring Birds -- 9 Planting and Seeding -- 10 Crop Damage Assessment -- 11 Indian Scenario -- 12 Drone Policy in India -- 13 Way Forward -- References -- Part II: Adaptation and Mitigation Strategies in Smallholder Agricultural System under Climate Change Scenario -- Chapter 2: Revolutionizing Crops and Soil Resources' Resilience to Climate Change: A Case for Best-Fit Agronomic Practices in Low and High Input Systems -- 1 Introduction -- 1.1 Effect of Climate Change on Crops and Cropping Systems -- 1.2 Low and High Input Production Systems -- 2 Enhancing Crops' Resilience to Climate Change -- 2.1 Gene Modification -- 2.2 Spacing -- 2.3 Rainfall Characterization -- 2.4 Drought Tolerance Crops -- 2.5 Supplemental Irrigation -- 2.6 Green House -- 2.7 Soil Management Practices -- 2.8 Ridging and Tie-Rides -- 2.9 Minimum Tillage and Mulch -- 2.10 Organic and Inorganic Resources -- 2.11 Zai Pits -- 2.12 Cover Cropping -- 2.13 Cereal-Legume Systems -- 3 Policy and Legal Frameworks for Resilient Crops Production Systems -- 4 Conclusion -- References -- Chapter 3: Drought-Resilient Climate Smart Sorghum Varieties for Food and Industrial Use in Marginal Frontier Areas of Kenya -- 1 Introduction -- 2 Traits Favoring Sorghum Production in Kenya -- 3 Challenges in Sorghum Production -- 4 Effect of Drought on Sorghum Grain and Malting Quality. , 4.1 Grain Quality -- 4.2 Malt Quality -- 5 Opportunities for Sorghum Research in Kenya -- 6 Approaches for Resolving Sorghum Shortage and Need for Research -- References -- Chapter 4: Optimizing Nitrogen Management for Improved Productivity, Nitrogen Use Efficiency, and Food and Nutrition Security: African Context Perspectives -- 1 Introduction -- 2 Methodology -- 2.1 Role of Nitrogen in Soil and Food Productivity in SSA -- 2.2 Nitrogen and Crop Productivity -- 2.3 Key Nitrogen Management Indicators: Nitrogen Use Efficiencies and Budgets -- 2.4 Fertilizer Subsidy, Socio-economic Status on Adoption of Integrated N and Other Input Management -- 2.5 Policies and Institutions Influencing N Consumption and Management -- 3 Conclusions -- References -- Chapter 5: Soil Carbon Pools Under Different Farming Practices -- 1 Introduction -- 2 Materials and Methods -- 2.1 Study Sites and Farming Practices -- 2.2 Soil Sampling and Analyses -- 3 Results and Discussion -- 3.1 EC, pH, and Bulk Density -- 3.2 Different SOC Pools -- 3.3 Microbial Biomass Carbon (MBC) -- 3.4 Carbon Stock -- 3.5 Active Pool of Carbon -- 4 Conclusion -- References -- Chapter 6: Effect of Conservation Agriculture on Energy Consumption and Carbon Emission -- 1 Introduction -- 2 Origin of Conservation Agriculture -- 3 Fundamentals of CA, Its Principles, and Drivers -- 4 Global and National Status of CA -- 4.1 Global Status -- 4.2 Adoption of CA India -- 5 Prospects and Constraints in Adoption of CA Systems -- 5.1 Constraints in Adopting CA -- 6 Resource Efficiencies, Particularly Energy Budgeting in CA -- 6.1 Crop Establishment Strategies Based on Tillage and the Energy Relationship -- 6.2 Crop Residue Retention and Energy Relations -- 6.3 Cropping System and Energy Relations -- 6.4 Energy-Economics Relationship. , 7 Scope of Climate Resilience and Greenhouse Gas Emissions (GHGs) Mitigation Through CA Adoption -- 8 Indices of Soil Health and Carbon Sequestration Potential Under CA Systems -- 9 The Impact of Conservation Agriculture on Soil Properties -- 9.1 Physical Properties -- 9.2 Soil Moisture Content -- 9.3 Exchangeable Ca, Mg, and Micronutrients -- 9.4 Soil Microbial Biomass Carbon (SMBC) -- 9.5 Soil Enzymatic Activities -- 10 Conclusion -- 11 Future Prospects and Critical Areas of Research -- References -- Chapter 7: Plant Molecular Farming: A Marvelous Biotechnological Approach in Agricultural Production -- 1 Introduction -- 2 Plants as Production System of Plant Molecular Farming -- 2.1 Suspension Culture of Model Plants -- 2.2 Advantages of Plant System for Protein Production -- 3 Biomolecules Production in Transgenic Plants -- 3.1 Expression of Recombinant Biomolecules in Plant -- 3.2 Antibody Production in Plants -- 3.3 Edible Vaccine Production -- 4 Commercial and Economic Opportunities for Plant Molecular Farming in Future -- 5 Conclusion -- References -- Part III: Advanced Technology in Agriculture for Smart Faming -- Chapter 8: Examining the Outcome of Coupling Machine Learning with Dual Polarimetric SAR for Rice Growth Mapping -- 1 Introduction -- 2 Methodology -- 2.1 Test Site -- 2.2 Datasets -- 2.3 Data Preprocessing and Analysis -- 3 Results and Discussion -- 3.1 Backscatter Characteristics -- 3.2 Polarimetric Decomposition -- 3.3 Baseline Accuracy -- 3.4 Accuracy Based on the Augmented Dataset -- 4 Conclusion -- References -- Chapter 9: Mapping Prominent Cash Crops Employing ALOS PALSAR-2 and Selected Machine Learners -- 1 Introduction -- 2 Methodology -- 2.1 Research Site and Dataset -- 2.2 Procedure of Analyses -- 3 Results -- 3.1 Variable Importance -- 3.2 Comparing Accuracy of All Variables and the Best Subset. , 3.3 Map of the Best Algorithms -- 4 Discussion -- 5 Conclusion -- References -- Chapter 10: Crop Assessment and Decision Support Information Products Using Multi-sensor and Multi-temporal Moderate Resolution Satellite Data -- 1 Introduction -- 1.1 Significance of Wheat in Indian Economy -- 1.2 Crop Inventory -- 1.3 Crop Forecasting and Acreage Estimation -- 2 Location of Study Area -- 3 Material and Methodology -- 3.1 Data Used -- 3.1.1 Remote Sensing Data -- 3.2 Indices Generation -- 3.2.1 Normalized Difference Vegetation Index (NDVI) -- 3.2.2 Normalized Difference Water Index (NDWI) -- 3.2.3 Land Surface Water Index (LSWI) -- 3.3 Crop Classification -- 3.3.1 Supervised Classification: -- 3.3.2 Unsupervised Classification: -- 3.4 Spectral Matching Techniques (SMTs) -- 4 Results and Discussion -- 4.1 Wheat Mapping with Finer Resolution -- 4.2 Wheat Crop Distribution Among the Villages -- 4.3 Mapping Early Sown and Normal Sown Wheat Area -- 4.4 Wheat Crop Condition Analysis -- 4.5 NDVI and LSWI Profiles of Wheat Crop -- 5 Conclusion -- References -- Part IV: Livestock Production: Technology Development, Transfer and Opportunities -- Chapter 11: Application of Information and Electronic Technology for Best Practice Management in Livestock Production System -- 1 Introduction -- 2 Information and Communication Technologies -- 2.1 Dissemination of Information on Livestock Farm Management -- 2.2 Dissemination of Livestock Health Information and Disease Surveillance -- 2.3 Telemedicine Services -- 2.4 Early Warning System for Disaster Management -- 2.5 Food Safety and Traceability System -- 2.6 Enhanced Access to Market -- 2.7 Financial Insertion -- 3 Animal Identification and Traceability System -- 3.1 Traditional Identification System -- 3.2 Visual Biometric Identification System -- 3.3 Image-Based Animal Identification System. , 3.4 Feature-Based Animal Breed Identification -- 3.5 Deep Learning-Based Animal Identification System -- 4 Internet of Things -- 5 Wireless Sensor Networks -- 5.1 Biometric Sensors -- 5.1.1 Noninvasive -- Stationary Sensors in the Farm Area -- Mobile Sensors Attached to the Bodies of the Animals -- 5.1.2 Invasive -- 5.2 Applications of Various Sensors -- 5.2.1 Image Capturing Sensors -- 5.2.2 Sound Capturing Sensors -- 5.2.3 Biosensing Sensors -- 5.3 Big Data Analytics -- 6 Artificial Intelligence -- 6.1 Automated and Intelligent Field Scout (AIFS) -- 6.2 Machine Learning -- 6.2.1 Machine Learning Models for Feature Extraction -- 6.2.2 Regression Analysis in Machine Learning -- 6.2.3 K Nearest Neighbor Algorithm to Predict Production -- 6.2.4 Applications of Machine Learning in Artificial Intelligence-Based Livestock Farming System -- 7 Drones or Unmanned Air Vehicle -- 8 Robots -- 9 Conclusions -- References -- Chapter 12: Mobilizing Pig Resources for Capacity Development and Livelihood Security -- 1 Introduction -- 2 Scope of Piggery Sector -- 3 Bottlenecks in Piggery Sector -- 3.1 Insufficiency of Quality Germplasm -- 3.2 Shortage of Feed Resources -- 3.3 Diseases -- 3.4 Veterinary Services -- 3.5 Safe Pork Production and Facility of Hygienic Slaughterhouse -- 3.6 Lack of Skilled Labour -- 3.7 Climate Change -- 4 Strategies to Tap the Potential of Piggery Sector -- 4.1 Production Cost Reduction -- 4.1.1 Non-Conventional Feed Resources (NCFR) -- 4.1.2 Precision Feeding -- 4.2 Pig Productivity Improvement -- 4.2.1 Exotic Breeds -- 4.2.2 Indigenous Breeds -- 4.2.3 Crossbred Varieties -- 4.3 Household Return Hike -- 4.4 Strengthening of Marketing Chain -- 4.5 Control of Emerging Disease and Prevention -- 4.6 Development of Local Cooperatives for Pig Farming -- 4.7 Institutional Support -- 4.8 Science and Technology-Driven Intervention. , 4.8.1 Introduction of Area-Specific Need-Based improved breeds.