IoT and Analytics for Agriculture
In: Studies in Big Data Ser. v.63
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 Foods -- 4.2 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 -- References -- IoT 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.