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Replant
About Project
At a time when the forest and forest sector are on the agenda, and discussing ways to increase the sector's competitiveness alongside the country's socio-economic development in the context of a global circular economy, this mobilizing project comes bring a new perspective on integrated forest and fire management, based on scientific and technological knowledge. The main purpose of this mobilizer is to contribute to the greater appreciation of the Portuguese forest through the implementation of collaborative strategies for integrated forest and fire management. These strategies will lead to new products and services, mostly supported by digital technologies, contributing to fire risk reduction and introducing a high degree of innovation to improve forest and energy companies' management and decision-making processes, with positive impacts throughout the chain, including its service providers and forest producers, with a major impact on the economy of rural areas. RePLANt will contribute to consolidate the national market in technologies and equipment for the forest sector. RePLANt is the first major project that will enable the ForestWISE Collaborative Laboratory to be operationalized. This is an unprecedented effort to take the priority business initiatives outlined in the ForestWISE R&D Agenda to the ground. The project brings together all ForestWISE associates - forestry, energy companies and universities - which together represent all the diversity of the national forestry sector, working together with hi-tech companies. This multidisciplinary consortium will implement major 8 Collaborative Strategies, structured in industrial research activities of 3 major PPS3 - Forest and fire management, risk management and circular economy and value chains.
Acronym
Replant
Responsible
Reinaldo Luís Pinto Silva Gomes
Status
Closed
Start
January 1, 2020
End
January 30, 2023
Effective End
January 30, 2023
Global Budget
€5,601,873.00
Financing
€126,478.00
Website
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Members
Team Leaders
Reinaldo Silva Gomes
Pedro Amorim
Master of Science and Doctor of Philosophy in Industrial Engineering and Management by FEUP.
Head of the Research Center for Industrial Engineering and Management from INESC TEC Laboratório Associado.
Assistant Professor at the Department of Industrial Engineering and Management at FEUP.
Co Founder of LTPlabs - consultancy company that applies advanced analytical methods to help make better complex decisions.
Specialist in supply chain planning with an emphasis on food products. He was Supply Chain Analyst at Total Raffinage Marketing (França). Researcher/Consultant in several projects related to Operations Management and supported by different types of entities.
Author of several publications in international journals in the field of Operations Research (for example, International Journal of Production Economics, Industrial Engineering and Chemistry Research, Computers and Chemical Engineering, Interfaces) - Google citation profile.
Filipe Neves Santos
Filipe Neves dos Santos was born in São Paio de Oleiros, Portugal, in 1979. He olds a Licenciatura (5-year degree) in Electrical and Computer Engineering in 2003 from Instituto Superior de Engenharia do Porto (ISEP), a M.Sc. in Electrical and Computer Engineering from the Instituto Superior Técnico (IST) da Universidade Técnica de Lisboa, in 2007, and received the PhD degree in Electrical and Computer Engineering at the Faculdade de Engenharia (FEUP), Universidade do Porto, Portugal, in 2014. His professional passion is to develop autonomous robots and machinery to solve real problems, desires and needs of our society and to contribute for self-sustainability and fairness of the global economy. Actually, He is focused in developing and researching robotic solutions for agriculture and forestry sector, where is required a higher efficiency for our world self-sustainability. Considering his closer regional reality, he have setup the goal to promote agricultural robotic based projects and develop robots that can operate fully autonomously and safely in steep-slope scenarios, which is a common reality of North of Portugal and in other large number of world regions. As so, he is interested in explore and develop robots for specific agricultural and forestall tasks such as: monitoring (by ground), spraying, logistics, pruning, and selective harvesting. The successfully execution of these task is largely dependent on the robustness of specific robotic systems, such as: - Visual Perception; - Navigation (localization, mapping and path planning); and - Manipulation and end tools. For that reason Visual Perception and Navigation are his main research fields inside of robotics research. His formation in Electronics and Computer Engineer (Bachelor (old-one of 5 years) MSc (sensor fusion), PhD (semantic mapping) ), experience of 4 years as entrepreneur (technological startup), 8 year as robotics researcher, 5 years as manager (in supporting tasks in a family enterprise), and 6 year as electronics technician will help him to successfully contribute for the agricultural and forestall robotics future.
Lino Oliveira
Lino Oliveira is a senior researcher, project manager and manager of the Geospatial Information Systems Engineering area at the Center for Human-Centered Computing and Information Science (HUMANISE) at INESC TEC. His activity has been oriented to the management and development of national and international projects of geospatial information systems, based on OGC (Open Geospatial Consortium) emerging norms in governmental institutions and companies. Master in Computer Science and Engineering from the NOVA School of Science and Technology, Lisbon. Holds a postgraduate degree in Enterprise Applications Engineering and a degree in Information Systems Engineering from the School of Engineering of the Polytechnic Institute of Oporto. He also has a specialization in Project Management from Porto Business School and concluded the General Management Programme, also in Porto Business School.
Associated 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.
Industrial Engineering and Management
The Centre for Industrial Engineering and Management (CEGI) is internationally recognised in the fields of decision science, optimisation, operations management and service engineering. The mission is to support organisations and communities in decision-making by harnessing the power of data to develop robust and sustainable solutions to complex problems. Research at CEGI focuses on real-world challenges like transport planning, supply chain management, healthcare service networks, industrial operations optimisation, disaster response and recovery, and the impact assessment of public policies. By resorting to Artificial Intelligence, data science and mathematical modelling, CEGI aims to understand system behaviours, improve process efficiency, increase organisational resilience, and anticipate the effects of decisions in uncertain contexts. CEGI operates across critical sectors including mobility, healthcare, retail, industry, energy, and services, focusing on digital transition and sustainability. We collaborate with academia, companies, municipal authorities, hospitals, and regulators, transforming scientific knowledge into applied solutions. We believe that evidence-based management is key to tackling the challenges of a constantly changing world.
