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VLIT NODE Sensor Technology and Prefarm AgEcon
Charvat, Karel; Musil, Marek; Krivanek, Zbynek.
Precision farming systems are based on a detailed monitoring of information and data that are necessary for successful decision-making in crop production. The system is designed for data collection from several resources. In past years an extensive research and development work has been done in the field of wireless sensor networks (WSN) in the world. When a wireless sensor network (WSN) is used for agricultural purposes, it has to provide first of all a long-reach signal. The present paper describes new long distance RFID based technology implementation - VLIT NODE.
Tipo: Journal Article Palavras-chave: Wireless Sensor Network; Precision Agriculture; RFID.; Research and Development/Tech Change/Emerging Technologies; Research Methods/ Statistical Methods; GA; IN.
Ano: 2010 URL: http://purl.umn.edu/96875
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Vision Statements and Road-Map Methodology for Knowledge Management Adoption AgEcon
Charvat, Karel; Gnip, Pavel; Gemtou, Maria; Vogeltanzova, Tereza.
The present paper describes the strategy of introducing future knowledge management system at farms. The FUTUREFARM and PREZEM projects strive to apply new knowledge management methods in arable farming where they guarantee an easy adaptation of the farming sector to the everchanging conditions in short, middle and long-term perspective. The knowledge management methods have to be put into practice on strategic, tactic and operational planning levels. Based on the project analysis and workshops with farmers, the paper brings an outline of the main goals and obstacles for new knowledge management methods adoption and furthermore defines the target groups and relevant methods of dealing with them.
Tipo: Journal Article Palavras-chave: Knowledge management; Adaptation; Arable farming; Farm Management; GA; IN.
Ano: 2010 URL: http://purl.umn.edu/99070
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Prefarm Systems and economical analysis of practical experiences AgEcon
Gnip, Pavel; Kafka, Stepan; Cepicky, Jachym; Charvat, Karel.
The system of Precision farming guarantees a detail monitoring of data and information necessary for a successful decision in a crop production. The system is designed for a data collection from several sources. The data are collected by a service company and also directly by farmers. The paper also analyses the economical efficiency on the base of Medlov Farm. Next development is currently running under projects Prezem and AgriSensor.
Tipo: Journal Article Palavras-chave: GPS; GIS; Precision farming; Economical analysis; Monitoring; Farm Management; Research and Development/Tech Change/Emerging Technologies.
Ano: 2009 URL: http://purl.umn.edu/96855
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NASYP: Online expert tool on the control of major-accident hazards involving dangerous substances AgEcon
Kahuda, Daniel; Vach, Marek; Cerba, Otakar; Krivanek, Zbynek; Jezek, Jan; Charvat, Karel; Vohnout, Premysl; Dvorak, V..
NASYP is an online Geoportal tool being developed in cooperation with state and regional authorities to improve insufficient practices based on implementation of Directive nr. 2003/105/ES on the control of major-accident hazards involving dangerous substances. The tool is applicable for managing the permits, reporting and regular monitoring issues. Furthermore, it’s applicable for a risk assessment and a rapid management of disasters in the initial phase. There’re simple modeling tools included to simulate early stages of the contamination caused by disasters occurred to be used for decision making and effective use of emergency services. In this manner, there’re low atmospheric and surface water pollutions taken into account. For the study area, Liberec...
Tipo: Journal Article Palavras-chave: Spatial data; Geoportal; Risk management; Modelling; Research and Development/Tech Change/Emerging Technologies; Research Methods/ Statistical Methods; Risk and Uncertainty; GA; IN.
Ano: 2011 URL: http://purl.umn.edu/116384
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FutureFarm vision AgEcon
Charvat, Karel; Gnip, Pavel; Mayer, Walter H..
This paper defines the first version of a vision of Future Farming project and also a knowledge management system used by European farms which will be designed and developed by the Future Farm project. An important part of the vision is a definition of external drivers and their influence on farm business in future. Paper is looking on a situation in three periods: short (2013), middle (2020) and long-term (2030). Our vision expects that the farming system will continuously converge to the situation of two types of farm: an industrial farm, which will guarantee both the food safety and the food security for European citizens, and multifunctional farms focused on environment protection. The recommendation proposes an architecture based on communication of...
Tipo: Journal Article Palavras-chave: Farming; External drivers; Future vision; Knowledge management; SOA; Farm Management.
Ano: 2009 URL: http://purl.umn.edu/96856
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