The access to cheap sensor technology, drones, climate data and<br>forecasts, satellite information about soils, humidity and more is<br>provoking a revolution with the irruption of Big Data and opening the<br>door to the development and application of novel optimization and<br>simulation models in Agriculture and the Agri–food industries.<br>The main question to solve is how to transform the huge amount of data<br>into useful information to decision–makers. Current applications cover<br>a wide range of different areas, from food production or animal<br>welfare to sustainability or climate change impact; and they are<br>expected to still increase in future. The scope of the conference<br>includes findings on established and new Operational Research, Big<br>Data and Analytics methods in effective decision–making applications<br>in Agriculture and in the Agri–food industry, including their supply<br>chain, and also problems in Forestry and in Environment studies.<br>Topics of interest to the conference include, but are not limited to:<br>Methods<br>– Operational Research methods relevant to agriculture, forestry and<br>environment<br>– Sustainability indicators in agriculture and environment<br>– Modelling sensor based data to get useful information<br>– Big Data techniques with potential applications in agriculture<br>– Optimization and simulation models, including agent based simulation<br>– Decision support tools based on Big Data and Operational Research techniques<br>– Decision support tools based on GIS and their implications with Big Data<br>– Economic aspects of adoption of Big Data analytics<br>Applications of the above mentioned methods in the following settings:<br>– Smart farms, sensing applications in agriculture<br>– Precision agriculture, digital agriculture<br>– Industrial agriculture<br>– Small scale farming<br>– Agri–business supply chain<br>– Forestry<br>– Land Use<br>– Environment studies and environmental protection<br>
Abbrevation
BigDSSAgro
City
Montevideo
Country
Uruguay
Deadline Paper
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