INESC TEC
INESC TEC
INESC TEC
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Renan Tosin

Renan Tosin

Holder of a PhD in Agricultural Sciences and Bachelor's and Master's degrees in Agricultural Engineering, with an international orientation, having studied at UNESP, Brazil, and The University of Adelaide, Australia, where he received the distinguished "Joanne Kanas Memorial Medal." His master's thesis at FCUP centred on vineyard modelling, employing sophisticated remote sensing and machine learning techniques, for which he received a grade of 20/20. He participated in the "WineSpectra" and "VineSpec" technology transfer projects between FCUP and companies in the viticulture sector, focusing on modelling the water status of vineyards in the Douro region using remote sensing techniques. Supported by an FCT scholarship (SFRH/BD/145182/2019), his PhD research focused on applying systems biology in the context of precision agriculture. During his doctoral studies, he was selected for the "9th Advanced Training Course on Land Remote Sensing: Agriculture" by the European Space Agency (ESA) at the renowned Université Catholique de Louvain in Louvain-la-Neuve, Belgium. He was involved in the "Metbots" and "SpecTOM" projects and is currently part of the "Omicbots" and "Phenobots" projects. He is also an invited assistant at the Faculty of Sciences of the University of Porto, where he teaches the courses Applications to Agriculture in the Master's in Remote Sensing and Agriculture courses in the Bachelor's degrees in Agricultural Engineering and Landscape Architecture. He has developed knowledge about the research process (planning, implementation, and communication of results) in academic and corporate contexts.

Publications

Toward a generalized predictive model of grapevine water status in Douro region from hyperspectral data

Pocas, I;Tosin, R;Goncalves, I;Cunha, M;

2020

AGRICULTURAL AND FOREST METEOROLOGY

Assessing predawn leaf water potential based on hyperspectral data and pigment's concentration of Vitis vinifera L. in the Douro Wine Region

Tosin, R;Pocas, I;Novo, H;Teixeira, J;Fontes, N;Graca, A;Cunha, M;

2021

SCIENTIA HORTICULTURAE

Estimation of grapevine predawn leaf water potential based on hyperspectral reflectance data in Douro wine region

Tosin, R;Pocas, I;Goncalves, I;Cunha, M;

2020

VITIS

Spectral and thermal data as a proxy for leaf protective energy dissipation under kaolin application in grapevine cultivars

Tosin, R;Pocas, I;Cunha, M;

2019

OPEN AGRICULTURE

View all publications

Centres

Robotics in Industry and Intelligent Systems

At the Centre for Robotics and Intelligent Systems, we develop innovative solutions to leverage robotics in the industrial, agricultural, and forestry contexts, driving the digital transformation of the industry. We take a practical approach - from design to deployment - to test the navigation and localisation of mobile robots, explore advances in 2D/3D industrial vision and advanced detection, while also focusing on industrial and collaborative robotics, as well as human-robot interfaces. Our TRIBE LAB is fertile ground for innovative ideas about the agriculture of the future; we develop prototypes and promote excellence in agricultural robotics and IoT technology: with prototypes, advanced sensors (LiDAR, AI cameras), and rapid prototyping tools, we accelerate the development of solutions for the agroforestry sector. We are also present at the iiLab, where we combine applied research, technological demonstration, and controlled environment testing, promoting the integration of emerging technologies into industry. From intelligent robotic cells and cyber-physical systems to data analysis and AI, it is an innovation space where companies can experiment with and validate solutions for the factory of the future. With a multidisciplinary team, and following European agendas, our research work combines fundamental science and application, impacting the design of solutions for Industry 4.0, fostering competitiveness and the digital transformation of the sector.

Robotics in Industry and Intelligent Systems

Information and Contacts

Phone
+351220413317
Email
[email protected]
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