Advances in Information and Communication Technologies for Adapting Agriculture to Climate Change, 1st ed. 2018 Proceedings of the International Conference of ICT for Adapting Agriculture to Climate Change (AACC'17), November 22-24, 2017, Popayán, Colombia Advances in Intelligent Systems and Computing Series, Vol. 687
Coordonnateurs : Angelov Plamen, Iglesias Jose Antonio, Corrales Juan Carlos
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.
Presents 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
Offers a timely snapshot of information technology (IT) applications in the agricultural sector
Highlights methods for assessing climate change impacts on agriculture
Includes technologies for risk management
Date de parution : 11-2017
Ouvrage de 265 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 158,24 €
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Mots-clés :
Coffee Rust Control; Coffee Rust Control; Disease Control in Agriculture; Early Warning Systems; Crop Yield Models; Adaptation Strategies to Climate Change; Remote Sensing Data; Big Data in Agriculture; Land Use Information; Comparison of Land Cover; Intelligent Decision in Agriculture; Data Analysis in Agriculture; Precision Agriculture; Wireless Sensor Networks in Agriculture; Interinstitutional Social Networks; Food Security; Machine Learning In Agriculture; Graph Based Representation; Synthetic Data in Agricu