METER Group, Inc., United States
ABSTRACT. The interaction of electromagnetic waves with matter gives rise to conduction and polarization phenomena. The intensive material properties describing such phenomena are respectively the electrical conductivity and dielectric permittivity. The combined measurements of these fundamental properties at different wavelengths represent a powerful tool for material characterization. As it probes materials at different spatial scales, Broadband Dielectric Spectroscopy (BDS) has vast applications in the study of heterogeneous systems, from estimates of the volume fractions of its constituents to characterization of structural features. In this introductory lecture we will discuss the fundamentals of dielectric permittivity, with special emphasis to heterogeneous material, and will provide a glimpse of the most common applications of static and broadband dielectric techniques.
Paolo Castiglione, PhD, is a senior soil scientist, currently working at the Research and Development department of METER Group Inc. (Pullman, Washington State, USA), where he designs sensing devices for commercial agriculture, environmental monitoring and food industry. He is also affiliated with the Washington State University and assists with the Environmental Biophysics postgraduate course.
Dr. Edoardo Pasolli
University of Naples "Federico II", Italy
ABSTRACT. In the last few years, big data technologies have received a growing interest in multiple domains including agriculture. Large amount of data of different nature can be acquired, analyzed, and used for decision-making processes. In this introductory lecture, we will have an overview on recent advancements in the big data field in conjunction with data analysis methodologies, with particular emphasis on current challenges and future perspectives.
Dr. Edoardo Pasolli, PhD in Information and Communication Technology. Assistant professor at the University of Naples Federico II, Dept. of Agricultural Sciences. Guest editor for the special issue "Advanced machine learning approaches for hyperspectral data analysis" in MDPI Remote Sensing.
DISAFA, Università degli Studi di Torino
ABSTRACT. In agriculture, the use of UAVs is generating great expectations. However, nowadays the adoption of drones is mainly confined to remote sensing applications (crop monitoring, soil/field analysis, irrigation planning). More advanced solutions for e.g. crop planting or spraying applications are mainly designed to operate in specific and limited scenarios, such as flat terrains covered by crop with homogeneous canopies (e.g. wheat or paddy fields), where operations are mainly performed from the top of the crops. In general, the level of engagement of the available solutions is far from being completely representative of the real potential of these new tools.
Aim of this lecture is to presents a framework of possibile innovative solutions, in the spirit of Farming 4.0 principles, for extending the use of drones in agriculture to scenarios in which conventional machines are not employable.
Prof. Paolo Gay, Degree in Electronic Engineering and PhD in Systems and Computer Engineering, is a Full Professor of Agricultural Engineerinng at the University of Torino, Dept. of Agricultural, Forest and Food Sciences. He is author of more than 160 paper published in international journals and conference proceedings. He is/was Principal Investigator (PI) in more than twenty competitive research projects. His research interests are in precision farming, robotics for agriculture and protected crops, modelling of agricultural processes and systems.