Information and Communication Technologies for Agriculture—Theme III: Decision

Dionysis Bochtis works on the field of engineering for agricultural production under enhanced ICT, automation, and robotics technologies. His Research/Academic track-record includes positions such as: Director of the Institute for Bio-economy and Agri-technology (IBO / CERTH); Professor (Agri-Robotics) University of Lincoln, UK, and Senior Scientist (Operations Management), Aarhus University, Denmark. He is the founder of the agri-tech private company: farmB Digital Agriculture. Claus Grøn Sørensen is a Professor at the Department of Electrical and Computer Engineering, University of Aarhus, Head of Operations Management Research Unit and of Centre on Smart Farming. He has extensive experience in production and operations management, decision analysis, information modeling, system analysis, and simulation and modeling of technology application in agriculture, development of management information systems and smart applications.  Multiple international positions held in international organizations, including past President of EurAgEng 2016-2018 (the European Society of Agricultural Engineers (EugAgEng)), and past Chairman for CIGR (International Commission of Agricultural Engineering) Section V on System Management. Spyros Fountas is Associate Professor at Agricultural University of Athens. He holds an MSc from Cranfield University UK in Information Technology, and PhD from Copenhagen University, Denmark in Systems Analysis on Precision Agriculture. He was also Visiting Scholar at Purdue University, USA.  He is Editor-in-Chief in the Elsevier journals of “Computers and Electronics in Agriculture” since 2014 and “Smart Agricultural Technology”, since 2021. His field of expertise are precision agriculture and farm management information systems.Vasileios Moysiadis is an Automation Engineer specialized in software development Machine Learning and Big Data Analysis. His research interests also focus on high level control aspects of robotic technologies and unmanned aerial vehicles. Currently he is a Research assistant at the Agri-robotics Lab of the Institute for Bio-economy and Agri-technology (iBO), Centre for Research & Technology Hellas (CERTH). Panos M. Pardalos serves as distinguished professor of industrial and systems engineering at the University of Florida. Additionally, he is the Paul and Heidi Brown Preeminent Professor of industrial and systems engineering. Professor Pardalos is also an affiliated faculty member of the computer and information science department, the Hellenic Studies Center, and the biomedical engineering program. Additionally, he serves as the director of the Center for Applied Optimization. Professor Pardalos is a world leading expert in global and combinatorial optimization. His recent research interests include network design problems, optimization intelecommunications, ecommerce, data mining, biomedical applications, and massive computing. Panos Pardalos is a prolific author who lectures all over the world. He is the recipient of a multitude of fellowships and awards, the most recent of which is the Humboldt Research Award (2018).

• Section I: Value Chain.- Agricultural Information Model (Palma).- Development of a framework for implementing IOT-A on the beef cattle value chain (Mostaço).- Food business information systems and software in Western Greece (Mitsos).- Section II: Primary production.- From precision agriculture to agriculture 4.0: Integrating ICT in farming(Benos).- On the routing of unmanned aerial vehicles (UAVs) in precision farming sampling missions (Bochtis).- 3D scenery construction of agricultural environments for robotics awareness (Tagarakis).- A Weed Control Unmanned Ground Vehicle Prototype for Precision Farming Activities: The Case of Red Rice (Bechtsis).- Decision making and Decision Support System for a successful weed management (Kanatas).- Zephyrus: Grain aeration strategy based on the prediction of temperature and moisture fronts (Lopes).- Decision-Making Applications on Smart Livestock Farming (A. Nääs).- Section III: Environment.- Programmable Process Structures of unified elements for model-based planning and operation of complex agri-environmental processes (Varga).- Monitoring and estimation of sugarcane burning in Brazil, using linear mixed models (S. Galvanin).- A Decision Support System for Green Crop Fertilization Planning (Rodias).- Knowledge elicitation and modeling of agroecological management strategies (Martin-Clouaire).