Forest
Analysis and classification of dried vegetables’ images with utilization of artificial neural networks
Tue, 2010-10-26 12:51 — EstherAgricultural and forest products; inverse finite element modeling; software development; artificial intelligence; artificial neural networks; object recognition; image processing and analysis; simulation and visualization of drying; drying; food quality; GIS; probabilistic prediction and approximation of spatial objects; Bayesian networks; decision support
In Poland a lot of academic research is connected with modelling of different aspects of agricultural systems by using various methods, software tools and notations. It is necessary to identify and specify attributes - input and output data for these systems, and these attributes can be useful for our project of standardization.
Probabilistic models of spatial phenomena in agriculture
Tue, 2010-10-26 12:51 — EstherAgricultural and forest products; inverse finite element modeling; software development; artificial intelligence; artificial neural networks; object recognition; image processing and analysis; simulation and visualization of drying; drying; food quality; GIS; probabilistic prediction and approximation of spatial objects; Bayesian networks; decision support
In Poland a lot of academic research is connected with modelling of different aspects of agricultural systems by using various methods, software tools and notations. It is necessary to identify and specify attributes - input and output data for these systems, and these attributes can be useful for our project of standardization.
Modelling of operation process for engineering facilities using dynamic bayesian networks
Tue, 2010-10-26 12:51 — EstherAgricultural and forest products; inverse finite element modeling; software development; artificial intelligence; artificial neural networks; object recognition; image processing and analysis; simulation and visualization of drying; drying; food quality; GIS; probabilistic prediction and approximation of spatial objects; Bayesian networks; decision support
In Poland a lot of academic research is connected with modelling of different aspects of agricultural systems by using various methods, software tools and notations. It is necessary to identify and specify attributes - input and output data for these systems, and these attributes can be useful for our project of standardization.
Geoinformation system in forestry
Tue, 2010-10-26 12:51 — EstherForestry; Standard of the Forest Numerical Map; GIS
GIS in Polish forestry is one of the most advanced geoinformation system in Poland. It is develop year by year, the new methods for data collection and management are implemented.
Information system for analyzing, designing and managing drying and storage of cereal grains
Tue, 2010-10-26 12:51 — EstherAgricultural and forest products; inverse finite element modeling; software development; artificial intelligence; artificial neural networks; object recognition; image processing and analysis; simulation and visualization of drying; drying; food quality; GIS; probabilistic prediction and approximation of spatial objects; Bayesian networks; decision support
In Poland a lot of academic research is connected with modelling of different aspects of agricultural systems by using various methods, software tools and notations. It is necessary to identify and specify attributes - input and output data for these systems, and these attributes can be useful for our project of standardization.
Inverse finite element analysis of technological processes of heat and mass transport in agricultural and forest products
Tue, 2010-10-26 12:51 — EstherAgricultural and forest products; inverse finite element modeling; software development; artificial intelligence; artificial neural networks; object recognition; image processing and analysis; simulation and visualization of drying; drying; food quality; GIS; probabilistic prediction and approximation of spatial objects; Bayesian networks; decision support
In Poland a lot of academic research is connected with modelling of different aspects of agricultural systems by using various methods, software tools and notations. It is necessary to identify and specify attributes - input and output data for these systems, and these attributes can be useful for our project of standardization.
Forestry in situ monitoring and data management
Tue, 2010-10-26 12:51 — EstherForest communication; Mobile data management; Sensors technology; Dynamic; Geovisualisation; Risk management
Using SDI as a framework and a web-based GIS as a tool, emergency management can be facilitated by providing a better way of spatial data collection, access, management and usage.
The paper concentrated on analysis, approaches, and solutions fostering wider usage of data observation and visualization in forest fire protection. Naturally the fundamental item from which all processes start is existence of SDI which is not anymore only static sources of data but more and more getting new dynamic component. These aspects are closely connected with the possibility to add to the „static“ data also those coming in real time from sensors, remote sensing sources, and other new technological equipments. Delimitation of so called critical infrastructures is one of the key steps to find appropriate solution in emergency situation.
Three fundamental ones:
• interoperability, network, and applications:
and five additional ones:
• open environment, system flexibility, high quality communication infrastructure, information and system interoperability, and intelligent information sparing.
Agrarian www portal
Tue, 2010-10-26 12:51 — EstherInformation technologies; a platform for providing information in the field of agriculture; food industry; forestry and rural development
The portal was created in 1999 in cooperation with the Czech University of Life Sciences (formerly of Agriculture) Prague and the Ministry of Agriculture. At present, development of the portal depends on the Council of Experts consisting of the representatives of the following institutions: Czech University of Life Sciences Prague, Ministry of Agriculture, Ministry of Environment, Ministry of Computer Science, Institute of Nutrition and Agriculture Information, Institute of Agricultural Economics, Office for Statistics, Commodity Exchange, Agricultural Journalists and Publicist Club and others. It precisely responds to information requirements in the agrarian sector as well as information and communication technologies (ICT) development – there is already a third programme version at present. At the moment the agrarian WWW portal AGRIS represents an information source with the highest attendance in the sector.
A novel approach to Environmental Monitoring System for Landslides and Fire detection
Tue, 2010-10-26 12:51 — EstherWSN; Wireless Sensor Node; wireless ad-hoc network; Environmental monitoring; mobile ad hoc network (MANET); Natural Hazards; Wildfires.
Presently, WSNs (Wireless Sensor Node) typically measure physical variables as pressure, temperature, pH, humidity, light, gases/liquids, real-time location, cracks, vibration, shock, wind speed and direction.
Applications within environmental sustainability are large and varied: precision agriculture, coral reefs, lakes, space, wildfires, landslides are some of them. In particular, agriculture appears as the most promising in terms of business ─ WSNs help in precision irrigation, pesticide treatment, and harvesting so a reduction in environment damage can be achieved as decreasing the release of harmful chemicals and reducing the consumption of scarce energy; thus diminishing operational costs while increasing crop quality.
Environmental sensors connected to global information systems is one of the Selected Notes from the Millennium Project´s 2007 State of the Future Report. Also, as a consequence of the many natural disasters that took place during 2005, public focus is shifting from artificial blunders to natural calamities, thus creating considerable potential for smart sensors in environment monitoring systems.
XQuery as a retrieval mechanism for longitudinal multiscale forest resource data
Mon, 2010-10-25 13:39 — EstherGeneric data model, Hierarchical, Temporal, Data access methods, Forest inventory
Monitoring and evaluation of management activities would be facilitated by storage of multiscale data sets spanning long time periods for large forested environments. For the study, such a data repository based on a generic spatio-temporal conceptual data model was created using XML. The data repository containing changes in data content for a 1000 ha forest estate between 1871 and 1994 was used to evaluate the data retrieval capabilities of XQuery. The data retrieval operations consisted of pivoting, sequencing, and aggregation. Pivoting transforms the generic attribute storage used in the data model into a more compact column-wise format. Sequencing is used to return a temporal sequence of values, and for the traversal of the object hierarchy. Aggregation aggregates the values of a variable over a grouping variable. The combinations of the basic retrieval operations were investigated as well as the effect of time and object hierarchy on the retrieval operations. The conceptual match between the generic spatio-temporal data model and the XML data model was apparent at the data retrieval operations. The key properties of XQuery for the implementation of the retrieval operations were extendability, support for nested structures, and data transformation functionality.
