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 Read More »
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 Read More »
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 Read More »
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 Read More »
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 Read More »
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.
Read More »
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.
Read More »