MOUNTAINS 2020

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MOUNTAIN
RESEARCH
CENTER

O Norte Somos Nós

CIMO is the winner of the "O Norte Somos Nós" Awards in
the category of Research. See video HERE

MOUNTAIN
RESEARCH
CENTER

See a short video
about us

MOUNTAIN
RESEARCH
CENTER

Polytechnic Institute
of Bragança

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FROM NATURE TO PRODUCTS, TOWARDS SUSTAINABILITY.

Intellectual property

Processo para a Obtenção de um Corante Natural a partir das Pétalas de HIBISCUS SABDARIFFA L.
Languages: Portuguese
Inventors: Isabel Cristina Ferreira, Lillian Barros, Eliana Pereira, Miguel Angel Lage, Maria Filomena Barreiro
World Wide Application
2021 PT
Phenylpropanoid saccharide esters, methods and uses thereof
Languages: English, French
Inventors: Isabel Ferreira, Krasimira Markova-Petrova, Marina Sokovic, Manuel Ricardo Calhelha
World Wide Application
2020 WO
Method of producing a catalyst based on columnar clays for the oxidation of phenols in aqueous solution with hydrogen peroxide
Languages: Cazaque
Inventors: Helder Gomes
World Wide Application
2019 KZ
New dairy product functionalized with mycosterols as hypocholesteremic agents
Languages: English, Portuguese
Inventors: Isabel Ferreira, Lillian Barros, Sandrina Heleno, Miguel Angel Prieto, Maria Filomena Barreiro
World Wide Application
2016 PT
Gomphrena globosa L.: an alternative and promising source for obtaining natural colourants
Languages: English, Portuguese
Inventors: Isabel Ferreira, Lillian Barros, Sandrina Heleno, Miguel Lobo Custódio, Maria Filomena Barreiro
World Wide Application
2016 PT
Obtention of a solution from extracts of Rosmarinus Officinalis L. for use as a food coating
Languages: English, Portuguese
Inventors: Isabel Ferreira, Lillian Barros, Marcio Carocho
World Wide Application
2018 PT 2019 EP US WO
Process for the production of wine using flowers of Castanea sativa Mill. As natural preservatives in alternative to the addition of sulphites
Languages: English, Portuguese
Inventors: Fernando Paiva, Isabel Ferreira, Albino Bento, Sandrina heleno
World Wide Application
2016 PT 2017 ES WO EP
Valor Natural®
Languages: Portuguese
Inventors: Instituto Politécnico de Bragança
World Wide Application
2016 PT
Obtaining a catechin-based natural additive from fruits of Arbutus unedo  L.
Languages: Portuguese
Inventors: Isabel Ferreira, Lillian Barros, Sandrina Heleno, Miguel Angel Lage, Maria Filomena Barreiro
World Wide Application
2016 PT
Method for the preparation of acetobromo-α-D-glucuronic acid methyl ester
Languages: Portuguese
Inventors: Ana Paula Esteves, Isabel Ferreira, Maria João Queiroz, Sandrina Heleno, Anabela Martins
World Wide Application
2016 PT
Dictis® - Bioproduct for the treatment of chestnut blight
Languages: Portuguese
Inventors: Instituto Politécnico de Bragança
World Wide Application
2015 PT
Functionalisation of cellulosic substrates for superhydrophobic and oleophobic properties by using actinic radiation curing formulations
Languages:
Inventors:
World Wide Application
Mobile App Asian-Hornets, N.º 3215/2019 – IGAC 2019. 2019
Asian-Hornets is a mobile App based on a machine-learning model acquired from 4000 images. The App can classify insects through images and is able to identify three types of insects, Honey bee, European wasp and Asian wasp, with an average accuracy of 96%. The App is of interest to beekeepers and the general population. The App can run on Android and iOS.
Software DEEPWINGS® developed by CIMO-IPB researchers, Nº 3214/2019 – IGAC 2019. 2019
Software DEEPWINGS® developed by CIMO-IPB researchers in cooperation with CEDRI-IPB was registered - Nº 3214/2019 – IGAC 2019. DEEPWINGS® is a computer program based on a machine-learning model acquired from 5000 images. The program can be used to segment honey bee wings and is able to identify, automatically, 19 wings landmarks with an accuracy of 97%, for further subspecies classification. This program is of interest of beekeeper researchers.
HoneyCombMarker, Nº 2764/2018 - IGAC. 2018
is a computer program whose purpose is to allow the manual annotation in digital images of honeycomb cells in order to build datasets for being used in machine learning models. The program presents some user assistance features to achieve accurate, precise and fast markings. It is possible to annotate the following cell classes: eggs, larvae, capped cells, nectar, pollen, honey, and void. This computer program resulted from the cooperation between CIMO and CeDRI, the Research Centre in Digitalization and Intelligent Robotics at IPB.
DeepBee, N.º 2765/2018 - IGAC. 2018
is a computer program based on a deep learning model, trained from 60,000 images by an artificial intelligence system, whose purpose is to automatically classify and count the cells present in digital pictures of hive combs. It is possible to recognize the following cell classes: eggs, larvae, capped cells, nectar, pollen, honey, and void. This computer program resulted from the cooperation between CIMO and CeDRI, the Research Centre in Digitalization and Intelligent Robotics at IPB.
AppTitude 1.0, 03/2018/262. 2017
is a forest decision support system software to analyse wood mobilisation scenarios in the Trás-os-Montes region based on interactions of wood supply and demand, combining several methods and models including expert opinion, spatially explicit growth and yield models, and price models
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Plataforma Florestas do Nordeste, 03/2018/260. 2017
is a web platform combining several forest decision support tools in the Nordeste region to transfer knowledge and technology to forest stakeholders in the region; in addition the platform allows creation, management and dissemination of relevant information to promote sustainable forestry in the region
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ApkFor 1.0, 03/2017/1233. 2017
is an Android Open-Source Project to generate basic mobile applications to transfer forest growth and yield models for even-aged stands
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FlorNExT 1.0., OU-025/201. 2016
is a software to simulate stand level growth, yield and management of forests stands in the Northeast of Portugal
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FlorNexT 1.0 Pro, OU-026/201. 2016
is a spatially explicit operational research tool to optimize forest management of groups of stands in the Northeast of Portugal according to a series of constraints, and management objectives and criteria including growth and yield, carbon sequestration, fire hazard, and financial indicators
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WRoute 1.0, OU-027/201. 2016
is a g fuel consumption, cost and CO2 emissions simulator for forest logistics; it combines two empirically validated models of truck transportation using Digital Elevation Model (DEM) data and an open spatial data tool, specifically OpenStreetMap©
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ChemT, 2011
is an open-source software for building chemical compound libraries, based on a specific chemical template. The compound libraries generated can then be evaluated, using several Virtual Screening tools like molecular docking or QSAR modelling tools.
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MOLA, 2010
is a software for Virtual Screening using AutoDock4/Vina in a computer cluster using non-dedicated multi-platform computers. MOLA is integrated on a customized Live-CD GNU/LINUX operating system and is distributed as a MOLA.iso file.
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