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Intro; Preface; About This Book; Key Features; Contents; About the Editors; Integrating Big Data Practices in Agriculture; 1 Introduction; 2 Using Big Data to Improve Agronomical Practices; 2.1 GODAN Framework: Global Open Data for Agriculture and Nutrition; 2.2 Use of Drones in Agriculture; 2.3 Create Better Supply Chain Optimizations; 3 Using Online Data for Betterment of Farmers; 3.1 A Case Study: Using Big Data Approach Enables Farmers to Buy Fertilizer from the Nearest Available Shop Thus Minimizing Transportation Cost; 3.2 Methodology; 4 Use of Social Media Analytics in Agriculture

4.1 Understanding the Monthly Global Trends of Gluten-Free Foods4.2 Global Sentiment Analysis for Gluten-Free Foods; 4.3 Perceptual Mapping Based on Sentiment Study; 4.4 Use of Online Portals for Data Representation; 4.5 To Study Consumer Behavior of Domestic and Processed Gluten-Free Food Using Discriminant Analysis; 4.6 Discriminant Analysis Model; References; Solar-Powered Automated IoT-Based Drip Irrigation System; 1 Introduction; 2 Automated Drip Irrigation System; 2.1 Literature Review; 2.2 Methodology; 3 Solar-Powered Automated Drip Irrigation System; 3.1 Related Work; 4 Conclusion

ReferencesIoT Foundations and Its Application; 1 IoT Groundwork; 1.1 Introduction; 1.2 Characteristics of Internet of Things; 1.3 Need of IoT; 1.4 Area of Applications; 2 Conclusion and Future Scope; Further Readings; e-Device for the Protection of Agricultural Land from Elephant Attacks in Odisha: A Review; 1 Introduction; 2 Literature Survey; 3 Problem Statement; 4 Proposed Approach; 5 Methodology; 6 Conclusion; References; The Impact of Irrigation on Agricultural Productivity in the Bolpur Sub Division, West Bengal; 1 Introduction; 2 Statement of Problems; 3 Literature Survey and Review

4 Objectives of the Study5 Database; 6 Methodology; 7 Location of the Study Area; 8 Impact of Irrigation on Productivity of Crops; 8.1 Productivity of Aman Paddy; 8.2 Productivity of Boro Paddy; 8.3 Productivity of Potato; 8.4 Productivity of Mustard Seed; 8.5 Productivity of Til; 8.6 Productivity of Mursuri; 9 Identification of Problems; 10 Policy Measures; 11 Major Findings; 12 Conclusion; References; Big Data, Climate Smart Agriculture and India-Africa Relations: A Social Science Perspective; 1 Introduction; 1.1 Emerging Scenario in Agriculture; 1.2 Scenario of African Countries

1.3 Scenario in India2 Emergence of Big Data; 2.1 Integrating Big Data into Climate-Smart Agriculture (CSA); 3 Emerging Challenges; 4 Big Data-Integrated CSA and the Future of India-Africa Relations; 5 Conclusion; References; IoT-Enabled Agricultural System Applications, Challenges and Security Issues; 1 Introduction; 1.1 IoT-Enabled Technologies Used for Smart Farming; 2 Applications of IoT in Agriculture; 2.1 Monitoring Activities; 2.2 Crop Management; 2.3 Agricultural Machinery; 2.4 Precision Agriculture; 2.5 Disease and Pest Control; 2.6 Green House Production

3 Challenges and Issues in IoT-Enabled Agriculture

This book presents recent findings on virtually every aspect of wireless IoT and analytics for agriculture. It discusses IoT-based monitoring systems for analyzing the crop environment, and methods for improving the efficiency of decision-making based on the analysis of harvest statistics. In turn, it addresses the latest innovations, trends, and concerns, as well as practical challenges encountered and solutions adopted in the fields of IoT and analytics for agriculture. In closing, it explores a range of applications, including: intelligent field monitoring, intelligent data processing and sensor technologies, predictive analysis systems, crop monitoring, and weather data-enabled analysis in IoT agro-systems.

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