Article analyzes chosen aspects of Internet of Things (IoT) in general and in regards to its specific uses in agriculture, which is one of the areas where IoT is commonly implemented. It serves as a primary delve into the issues of IoT as part of the grant received from Internal Grant Agency of Faculty of Economics and Management at CULS Prague called "Potential use of the Internet of Things, with emphasis on rural development and agrarian sector". Article overviews IoT equipment categorization, platforms, standards and network solutions. It focuses on network infrastructure, which is the foundation for IoT implementation. The specific environmental conditions of Czech Republic are also taken into account. Lastly, basic development trends of IoT are defined.
Modelling of hydrological extremes and drought modelling in particular has received much attention over recent decades. The main aim of this study is to apply a statistical model for drought estimation (in this case deficit volume) using extreme value theory and the index-flood method and to reduce the uncertainties in estimation of drought event return levels. Deficit volumes for 133 catchments in the Czech Republic (1901–2015) were simulated by hydrological model BILAN. The validation of severity, intensity and length of simulated drought events revealed good match with the available observed data. To estimate return levels of the deficit volumes, it is assumed (in accord with the index-flood method), that the deficit volumes within a homogeneous region are identically distributed after scaling with a site-specific factor. The parameters of the scaled regional distribution are estimated using L-moments. The goodness-of-fit of the statistical model is assessed by Anderson–Darling test. For the estimation of critical values, sampling methods allowing for handling of years without drought were used. It is shown, that the index-flood model with a Generalized Pareto distribution performs well and substantially reduces the uncertainty related to the estimation of the shape parameter and of the large deficit volume quantiles.
The article presents the possibilities of visual and statistical outputs from the telemetric tracking of game: activity data, heat map, home regions, movement routes and the points of occurrence. Nowadays the methods of the telemetric tracking of game are also used for finding the best ways to eliminate damage caused by wild boar generally, and field crops damage specifically. From telemetrically gained data it is possible to study the local habits of wild boar and their preference of crops and cultivars in various periods. On the basis of this knowledge it is possible to implement the necessary agrotechnical measures. The pilot processing and verification is run on the portal Zvěř (game) online (http://zver.agris.cz/). Currently there are 11 wild boars marked and tracked. The public part of portal is used for the basic presentation of data; in the non-public part the data of private subjects (agricultural companies and hunting organizations) that are not interested in public presentation are processed in the same way. In this way there is at disposal an integral system of wild boar tracking: capturing, marking, data collection, processing and presentation. This system can be used by research institutions, farmers and hunters.
The paper deals with a general solution of semantic description related to various electronic data formats in the domains of agriculture, aquaculture, forestry, food industry, environment, horticulture and rural areas. The solution presented was developed on the basis of metadata formats analysis and then complemented with its own software superstructure. It is based on the VOA 3 R metadata application profile (AP) that was developed within the framework of the Virtual Open Access Agriculture and Aquaculture Repository project for the sake of describing research papers and scientific publications. However, thanks to its complexity and comprehensiveness, it is also suitable for different kinds of data and while combining it with the AGROVOC thesaurus, which is elaborated by the Food and Agriculture Organization of the United Nations, it can become a robust and universal tool for data characteristics and semantic description. The potential of the proposed solution is illustrated by means of two examples. While the first example brings a metadata description of a photograph depicting anthocyanin pigmentation of barley straw caused by phosphorus deficiency, the second example is related to a research paper description. The developed system of metadata description is broadly applicable in agriculture such as in precision agriculture, in plant production or in ground cover monitoring and evaluation based on sensor or visual data.
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