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.

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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.

Education of adults with intellectual disabilities in labor activities can help them to successfully and repeatedly carry out their work tasks and significantly help their self-realization. The problem is that the need for frequent repetition of already learned skills requires the constant presence of a teacher or caregiver since such a worker is not able to work independently. This situation increases the cost of employing people with disabilities. The aim is to find a way to reduce the necessary number of caregivers needed in this kind of activity and enable greater self-sufficiency of workers. The presented research intended to verify whether a web course could be an effective educational tool for people with intellectual disabilities. During the research, a group of ten participants with intellectual disabilities was educated to acquire basic skills in horticulture. The first teaching was realized through practical demonstrations at the workplace in the university production garden by professional gardeners. After these demonstrations skills of all participants were verified and so the basic level for further verification and comparison of knowledge was set. Subsequently, using three approaches of repeating the already learned practical curriculum (verbal repetition, no repetition, and repetition using the web course) and different time intervals, the level of knowledge of each participant was verified. Statistical methods were used to compare the results of different repetition approaches. Research results demonstrated that a web course, with specific content that consists of video or animation, combined with the use of pictograms for confident navigation, can be used by people with intellectual disabilities with good results. At the same time, in addition to practical teaching, this was the second best-rated approach of repeating knowledge. Using a web course, participants achieved similar work results as they did in practical teaching. Keywords: adult education, intellectual disabilities, professional education, web course.