INESC TEC
INESC TEC
INESC TEC
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Leandro Almeida Rodrigues

Leandro Almeida Rodrigues

Leandro Rodrigues (LR) received a BS (distinguished as best student in the year 2018/2019) and a MSc in Agricultural Engineering at Sciences Faculty - University of Porto (FCUP) and is now attending the 1st year of the PhD in Agrarian Sciences, at the same institution. Recently became Research Assistant at Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), TEC4AGRO-FOOD, Centre for Robotics in Industry and Intelligent Systems (CRIIS), as a member of the multidisciplinary team of the Laboratory of Robotics and IoT for Smart Precision Agriculture and Forestry, where he will integrate several projects and develop research on Digital Twin (DT) and Digital Phenotyping (DP) to support better agricultural practices. LR's research interests include various topics in Agronomy and Agricultural Engineering mostly focused on Precision Agriculture (PA) and the implementation of Robotics, Artificial Intelligence and Computer Vision in an agricultural context for crop monitoring and phenotyping. Throughout his academic journey, held the role of Member of the FCUP Pedagogic Council and Member of the MSc Monitoring Commission. He participated in one INESC TEC project, aiding the development of a low-cost cartesian robot for phenotyping, the framework for his Master's Thesis entitled "PixelCropRobot, low-cost robotic prototype for phenotyping in vegetable crops" which was awarded a final grade of 19/20. LR was the co-author of 1 scientific publication published in IEEEXplore (listed in SCOPUS), presented in IRIA 2021. Among other outputs, it is worth mentioning a poster presented at the 13th Young Research Meeting of the University of Porto (IJUP). LR is a member of IAAS Porto Comitee (International Association of Students of Agriculture) since 2017. In 2018, LR organise the International Conference of Youth in Agriculture. From 2019 to 2021 held the role of Director, during that period, he entered the "24H Agriculture by Syngenta" competition and was part of the team responsible for organising the "II Journey of Agronomic Engineering FCUP" event. He also participated in the International Forum of Agricultural Robotics 2020 and attended the Sparkle Curse Entrepreneurship for Sustainable Precision Agriculture by Universitá degli Studi di Firenze and the International Summer School Agricultural Robotics organised by PhenoRob, which allowed him to enhance his knowledge in the Agriculture 4.0 field. He holds a Certificate of Pedagogical Skills (nº F694366/2020) and since 2019 he is a Student Member of the Order of Engineers (nº 86117).

Publications

In-Field Hyperspectral Proximal Sensing for Estimating Grapevine Water Status to Support Smart Precision Viticulture

Erica David;Renan Tosin;Igor Gonçalves;Leandro Rodrigues;Catarina Barbosa;Filipe Santos;Hugo Pinheiro;Rui Martins;Mario Cunha;

2023

The 3rd International Electronic Conference on Agronomy

Enhancing Grape Brix Prediction in Precision Viticulture: A Benchmarking Study of Predictive Models using Hyperspectral Proximal Sensors

Santos-Campos, M;Tosin, R;Rodrigues, L;Gonçalves, I;Barbosa, C;Martins, R;Santos, F;Cunha, M;

2023

The 3rd International Electronic Conference on Agronomy

Toward Grapevine Digital Ampelometry Through Vision Deep Learning Models

Magalhaes, SC;Castro, L;Rodrigues, L;Padilha, TC;de Carvalho, F;dos Santos, FN;Pinho, T;Moreira, G;Cunha, J;Cunha, M;Silva, P;Moreira, AP;

2023

IEEE SENSORS JOURNAL

Computer Vision and Deep Learning as Tools for Leveraging Dynamic Phenological Classification in Vegetable Crops

Rodrigues, L;Magalhaes, SA;da Silva, DQ;dos Santos, FN;Cunha, M;

2023

AGRONOMY-BASEL

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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

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