Advances in Information and Communication Technologies for Adapting Agriculture to Climate Change

Proceedings of the International Conference of ICT for Adapting Agriculture to Climate Change (AACC'17), November 22-24, 2017, Popayán, Colombia
 
 
Springer (Verlag)
  • erschienen am 10. November 2017
  • |
  • XIII, 265 Seiten
 
E-Book | PDF mit Adobe DRM | Systemvoraussetzungen
E-Book | PDF mit Wasserzeichen-DRM | Systemvoraussetzungen
978-3-319-70187-5 (ISBN)
 

This book presents novel communication technology solutions to address the effects of climate change and climate variability on agriculture, with a particular focus on those that increase agricultural production. It discusses decision support and early warning systems for agriculture; information technology (IT) supporting sustainable water management and land cover dynamics; predictive of crop production models; and software applications for reducing the effects of diseases and pests on crops. Further topics include the real-time monitoring of weather conditions and water quality, as well as food security issues. Featuring the proceedings of the International Conference of ICT for Adapting Agriculture to Climate Change (AACC'17), held on November 22-24, 2017, in Popayán, Colombia, the book represents a timely report and a source of new ideas and solutions for both researchers and practitioners active in the agricultural sector around the globe.

weitere Ausgaben werden ermittelt
  • "Preface"
  • "Organization"
  • "General Chairs"
  • "Program Co-chairs"
  • "Organizing Committee"
  • "Program Committee"
  • "Additional Reviewers"
  • "Sponsors"
  • "Contents"
  • "Knowledge Inference from a Small Water Quality Dataset with Multivariate Statistics and Data-Mining"
  • "Abstract"
  • "1 Introduction"
  • "2 Background"
  • "2.1 Data Source and Study Area"
  • "3 Methods"
  • "4 Experimental Setup and Results"
  • "4.1 Assessment of the Water Quality Profile with Principal Components and Factor Analysis"
  • "4.2 Assessment of the Water Quality Profile with Cluster Analysis and Decision Tree"
  • "5 Conclusions and Future Work"
  • "Acknowledgement"
  • "References"
  • "A Multiscale Based Rainfall Amount Prediction Using Multiple Classifier System"
  • "Abstract"
  • "1 Introduction"
  • "2 Related Work"
  • "3 Materials and Methods"
  • "3.1 Predictors"
  • "3.2 Data Collection"
  • "3.3 Data Pre-processing"
  • "4 Results"
  • "5 Conclusions"
  • "Acknowledgements"
  • "References"
  • "Characterization in the Visible and Infrared Spectrum of Agricultural Crops from a Multirotor Air Ve ..."
  • "Abstract"
  • "1 Introduction"
  • "2 Background"
  • "3 Technology and Method"
  • "4 Conclusions"
  • "Acknowledgements"
  • "References"
  • "Cover Missions Planning for Unmanned Aerial Vehicles"
  • "Abstract"
  • "1 Introduction"
  • "2 Coverage Path Planning (CPP)"
  • "2.1 Wavefront Expansion"
  • "2.2 Spanning Tree Coverage"
  • "2.3 Path Transform: Sunshine"
  • "3 Testing Coverage Path"
  • "3.1 Obtained Results"
  • "4 Conclusions"
  • "Acknowledgement"
  • "References"
  • "Impact of Climate Change on Soil Organic Carbon Content on Agricultural Soils of Mexico"
  • "Abstract"
  • "1 Introduction"
  • "2 Methodology"
  • "2.1 Database of Precipitation, Temperature and Monthly Potential Evapotranspiration for the Climate Influence Areas of the Country for the Base and the Climate Change Scenarios"
  • "2.2 Estimation of the Mineralization Dynamics of Soil Organic Matter in the Agricultural Land of Mexico Considering the Climate Change Scenarios"
  • "2.2.1 The Carbon Accounting Model of the IPCC (2006), Is Represented in the Following Formula"
  • "2.2.2 FAO Model of Soil Organic Matter Decline in the Land Degradation Process (Ortiz et al. 1994)"
  • "3 Results"
  • "4 Conclusions"
  • "References"
  • "Fertilization Strategies in Sugar Cane Crops in the Cauca Valley: A Review"
  • "Abstract"
  • "1 Introduction"
  • "2 Research Methodology"
  • "2.1 Research Questions"
  • "3 Conclusions"
  • "References"
  • "Coffee Rust Detection Based on a Graph Similarity Approach"
  • "Abstract"
  • "1 Introduction"
  • "2 Graph Based Representation"
  • "3 Graph Based Representation"
  • "3.1 A* Algorithm"
  • "3.2 Beam Algorithm"
  • "3.3 Hungarian Algorithm"
  • "3.4 Volgenant-Jonker Algorithm"
  • "3.5 Proposed Adaptation to the Selected Algorithm"
  • "4 Results"
  • "5 Conclusions and Future Works"
  • "Acknowledgments"
  • "References"
  • "A Guideline for Building Large Coffee Rust Samples Applying Machine Learning Methods"
  • "Abstract"
  • "1 Introduction"
  • "2 Background"
  • "2.1 Coffee Rust"
  • "2.2 Supervised Learning Techniques"
  • "3 Supervised Learning Techniques in Coffee Rust Detection"
  • "3.1 Supervised Learning for Coffee Rust Detection in Colombian Crops"
  • "3.2 Supervised Learning for Coffee Rust Detection in Brazilian Crops"
  • "3.3 Discussion"
  • "4 Synthetic Data Generation"
  • "5 A Guideline for Building Large Coffee Rust Samples"
  • "5.1 Oversampling"
  • "5.2 Classification"
  • "5.3 Interpolation"
  • "5.4 Regression"
  • "6 Conclusions"
  • "7 Acknowledgments"
  • "References"
  • "Towards an Alert System for Coffee Diseases and Pests in a Smart Farming Approach Based on Semi-supe ..."
  • "Abstract"
  • "1 Introduction"
  • "2 State of the Art"
  • "2.1 General Context"
  • "2.1.1 Big Data Analytics"
  • "2.1.2 Graphs"
  • "2.1.3 Graph Similarity"
  • "2.2 Related Work"
  • "2.2.1 Automatic Disease Detection in Coffee Crops"
  • "2.2.2 Smart Farming and Big Data"
  • "2.2.3 Graph Similarity"
  • "3 Discussion"
  • "4 Conclusions"
  • "Acknowledgements"
  • "References"
  • "Deploying Timely Alerts Through Converged Services: An Application for Colombian Agriculture"
  • "Abstract"
  • "1 Introduction"
  • "2 System Design"
  • "2.1 System Requirements"
  • "2.2 System Agents"
  • "2.3 Relationship Diagram"
  • "3 Experimental Prototype"
  • "3.1 Deployment Model"
  • "3.2 Services Components"
  • "3.3 Implementation Environment"
  • "3.4 Experimental Design"
  • "4 Results and Discussion"
  • "5 Conclusions and Future Works"
  • "Acknowledgements"
  • "References"
  • "Improving Early Warning Systems for Agriculture Based on Web Service Adaptation"
  • "Abstract"
  • "1 Introduction"
  • "2 Motivation"
  • "3 State of the Art"
  • "4 ESB â?? CEP Integration for Web Services Adaptation"
  • "5 Case Study: Coffee Rust Detection in Colombian Crops"
  • "5.1 Application Domain"
  • "5.2 Case 1: Coffee Crop Location"
  • "5.3 Case 2: Coffee Flowering Date"
  • "6 AgroCloud: WSA"
  • "6.1 Technology"
  • "6.2 Implementation of the Proposed Solution"
  • "7 Results"
  • "7.1 Use of Computational Resources and Response Time"
  • "7.2 Decision Effectiveness"
  • "8 Conclusions"
  • "Acknowledgements"
  • "References"
  • "Crop Monitoring in High Andean Ecosystems of the Upper Basin of the Palacé River Using Planet Images"
  • "Abstract"
  • "1 Introduction"
  • "2 Related Work"
  • "3 Materials and Methods"
  • "4 Results"
  • "5 Conclusions and Future Work"
  • "Acknowledgments"
  • "References"
  • "WSN Prototype for African Oil Palm Bud Rot Monitoring"
  • "1 Introduction"
  • "2 System Design"
  • "2.1 Edafoclimatic Requirements of African Palm"
  • "2.2 Bud Rot"
  • "2.3 Hardware Design"
  • "2.4 Software Design"
  • "2.5 Performed Tests"
  • "3 Results"
  • "3.1 A Single Transmitting Node"
  • "3.2 Two Nodes Transmitting"
  • "3.3 Tests Made with Soil of a Crop Without Presence of Bud Rot"
  • "4 Conclusions"
  • "References"
  • "A Cloud-Based Platform for Decision Making Support in Colombian Agriculture: A Study Case in Coffee Rust"
  • "1 Introduction"
  • "2 Background"
  • "2.1 Study Case"
  • "2.2 Decision Support Systems"
  • "2.3 Related Works"
  • "3 AgroCloud Architecture"
  • "3.1 Conceptual Diagram"
  • "3.2 Deployment"
  • "4 Results"
  • "4.1 Type of Test"
  • "4.2 UAT Users"
  • "4.3 Business Requirements"
  • "4.4 Test Cases"
  • "5 Conclusions and Future Works"
  • "References"
  • "Potential Yields of Maize and Barley with Climate Change Scenarios and Adaptive Actions in Two Sites ..."
  • "Abstract"
  • "1 Introduction"
  • "2 Methodology"
  • "2.1 Crops and Biophysical Information"
  • "2.2 Calibration and Validation of the Baseline Scenario"
  • "2.3 Performance with Climate Change Scenarios and Adaptation Actions"
  • "2.4 Adaptation Actions"
  • "3 Results"
  • "3.1 Maize at Chapingo, Estado de México"
  • "3.2 Barley in Perote, Veracruz"
  • "4 Conclusions"
  • "References"
  • "Multitemporal Land Cover Change Analysis in the Upper Cauca Basin in Colombia"
  • "Abstract"
  • "1 Introduction"
  • "2 Related Work"
  • "3 Materials and Methods"
  • "3.1 Techniques"
  • "3.2 Data"
  • "4 Results"
  • "5 Conclusions"
  • "Acknowledgments"
  • "References"
  • "A Smart Farming Approach in Automatic Detection of Favorable Conditions for Planting and Crop Produc ..."
  • "Abstract"
  • "1 Introduction"
  • "2 Related Works"
  • "2.1 Data Fusion for Sowing and Agricultural Production"
  • "2.2 Machine Learning for Sowing and Agricultural Production"
  • "2.3 Big Data Analytics for Sowing and Agricultural Production"
  • "3 Study Area"
  • "4 Automatic Detection of Favorable Conditions for Planting and Crop Production"
  • "4.1 Big Data Analytics"
  • "4.2 Data Fusion"
  • "4.3 Detection Mechanism"
  • "4.4 Decision Makers GUI"
  • "4.5 Support Components"
  • "5 Conclusions and Future Work"
  • "Acknowledgements"
  • "References"
  • "An Online Learning Method for Embedded Decision Support in Agriculture Irrigation"
  • "Abstract"
  • "1 Introduction"
  • "2 Literature Review and Related Work"
  • "3 Problem Statement"
  • "4 Methodology"
  • "5 An Algorithm to Decision Support Based on Gradient Descent"
  • "6 Results"
  • "6.1 Approximation Functions"
  • "6.2 Simulation Results"
  • "7 Conclusions"
  • "Acknowledgements"
  • "References"
  • "Interinstitutional Relational Capital of Support for Climate Change and Food Security, an Analysis from the Social Networks in Cauca, Colombia"
  • "Abstract"
  • "1 Introduction"
  • "2 Literature Review"
  • "2.1 Relational Capital as a Key Element of Intellectual Capital in Organizations"
  • "3 Methodology"
  • "4 Findings"
  • "4.1 Relational Capital Strengthening"
  • "5 Conclusions"
  • "References"

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