Special Sessions
IEEE-CAFE is currently accepting submissions for the following Special Sessions:
Special Session papers must follow the same format as regular papers and undergo a similar review process. They will also be published and indexed in IEEE-XPlore.
How to submit a paper for a Special Session? Papers are submitted like regular ones on the Easychair website, just make sure to indicate which Special Session it is intended for when submitting.
Further info about Special Sessions please contact:
Special Sessions
IEEE-CAFE is currently accepting submissions for the following Special Sessions:
Special Session papers must follow the same format as regular papers and undergo a similar review process. They will also be published and indexed in IEEE-XPlore.
How to submit a paper for a Special Session? Papers are submitted like regular ones on the Easychair website, just make sure to indicate which Special Session it is intended for when submitting.
Further info about Special Sessions please contact:
Sensors and Applications
Special Session Chair
Cicero Martelli, Federal University of Technology
Parana, Brasil.
Contact
Abstract
Sensors are inherently multidisciplinary, encompassing a wide range of fields, from fundamental numerical modeling and material science to advanced digitalization. This session aims to bring together students and researchers who identify as part of the sensor research community to share their work and experiences in an open, collaborative environment where science and engineering define the boundaries of exploration.
Smart applications in agriculture
Special Session Chair
Luis Soriano, Universidad Autónoma de Chapingo, México.
Contact
Abstract
The integration of advanced technologies such as the Internet of Things (IoT), embedded systems, 3D printing, and computer vision is revolutionizing modern agriculture by enabling more efficient, sustainable, and data-driven practices. This special session presents a series of multidisciplinary projects that address key challenges in agricultural production, environmental monitoring, and resource optimization. In this proposal, technological and innovative solutions are also presented to address agricultural problems such as lack of crop supervision, and quality assurance. Image processing techniques are applied for crop health monitoring, and a specialized tool for quality detection and management is designed and implemented. Furthermore, the modeling of hydroponic lettuce systems is explored, showing significant improvements in yield and product quality. Recognizing the critical role of pollination in crop productivity, a smart pollination optimization strategy is also proposed. Collectively, these initiatives showcase how emerging technologies can be harnessed to enhance productivity, promote sustainability, and enable scalable, intelligent agricultural systems adaptable to diverse contexts.
loT devices for data collection in the agribusiness value chain
Special Session Chair
Diego Quiroga – UTEC, Uruguay
Contact
Abstract
Digital transformation in agribusiness requires more than just policies, funding, standards, and the social adoption of technologies. It also demands a comprehensive portfolio of solutions tailored to address both environmental and agricultural challenges. In this context, the Internet of Things (IoT) has emerged as a key technological enabler, especially given its inherent wireless capabilities. Within the agribusiness value chain, research plays a foundational role by identifying methodologies, techniques, and approaches that producers can adopt to enhance productivity and sustainability. This special session will explore a critical aspect of the data collection challenge—how to gather not only valuable research data but also data derived from human interaction with crops. This includes inputs from technicians and non-technical end users, and how such data can be integrated into centralized information systems. Agroecological engineers and researchers are end-users who require both data and actionable knowledge. In response, electronic engineers are developing system architectures designed to support agricultural research. The goal of this session is to showcase applied technologies that enable data collection from diverse sources, facilitate its integration into information systems, and make it accessible to end users—ultimately accelerating research and informed decision-making in agriculture.