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Review of research on salt-affected soils in the Debrecen agricultural high educational institutions, with special focus on the mapping of Hortobágy
471-484Views:71The history of the research of Debrecen scholars on salt-affected soils of Hortobágy and the region is very rich and diverse.
Focusing on mapping, the following stages can be distinguished, indicating the completeness of the maps and the purpose of the performed work
− First, quantitative maps (Arany, 1926) for the utilization of the lands at 1:75,000 (Figure 1).
− Second, quantitative map (Kreybig, 1943) for the utilization of the lands at 1:25,000.
− Third, category map (Kreybig et al., 1935) testing the suitability of the classification system at :75,000.
− Fourth, partial category map (Szabolcs, 1954), showing the reasons of unsuccessful management at 1:10,000.
− Fifth, partial quantitative map (Csillag et al., 1996), showing the utility of digital sampling at 1:25,000.
− Sixth, partial quantitative map (Tamás and Lénárt, 2006), showing the capacity of multispectral remote imagery at 1:100.
− Seventh, partial quantitative map (Douaik et al., 2006), showing the usefulness of geostatistical mapping at 1:10,000.
− Eight, national quantitative maps (Pásztor et al., 2016), showing the applicability of geostatistics for administrative purposes at 1:10,000.
− Ninth, partial quantitative/category map (authors, 2019), finding the optimal methods at 1:10,000. -
Economic questions of precision maize production on chernozem soil
293-296Views:126It is one of the main topical objective to establish the conditions of sustainable farming. The sustainable development in crop production also calls for the harmony of satisfying human needs and providing the protection of environmental and natural resources; therefore, the maximum consideratio of production site endowments, the common implementation of production needs and environmental protection aims, the minimum load on the environment and economicalness. Precision farmin encompasses the farming method which is adjusted to the given production site, the changing technology in a given plot, the integrated crop protection, cutting edge technologies, remote sensing, GIS, geostatistics, the change
of the mechanisation of crop production, and the application of information technology novelties in crop production. Modern technology increases efficiency and reduces costs. The efficiency of crop production increases by reducing losses and the farmer has access to a better decision support information technology system. In addition, we consider it necessary to examine the two currently most important economic issues: “is it worth it?” and “how much does it cost?”. During the analysis of agricultural technologies, we used the precision crop production experiment database of KITE Zrt. and the Institute for Land Utilisation, Regional Development and Technology of the Centre for Agricultural and Applied Economic Sciences of the University of Debrecen.
During our analytical work, we examined three technological alternatives on two soil types (chernozem and meadow). The first technology is the currently used autumn ploughing cultivation. We extended our analyses to the economic evaluation of satellite navigationassisted ploughing and strip till systems which prefer moisture saving. On chernozem soil, of the satellite-based technological alternatives, the autumn ploughing cultivation provided higher income than strip till. In years with average precipitation supply, we recommend the precision autumn ploughing technological alternative on chernozem soils in the future. On meadow soil, the strip till cultivation technology has more favourable economical results than the autumn ploughing. On soils with high plasticity – considering the high time and energy demand of cultivation and the short amoung of time available for cultivation – we recommend to use strip till technologies. -
Spatially Discrete GIS Analysis of Sampling Points Based on Yield and Quality Analysis of Sugar Beet (Beta vulgaris L.)
32-37Views:89Fulfilment of the increasing quality requirements of sugar beet production can be analysed with sampling of plants and soil at the cultivated area. Analyses of the spatial characteristics of samples require exact geodetic positioning. This is applied in practice using GPS in precision agriculture. The examinations were made in a sample area located in north-western Hungary with sugar beet test plant. According to the traditional sample taking procedure N=60 samples were taken in regular 20 x 20 m grid, where besides the plant micro and macro elements, the sugar industrial quality parameters (Equations 1-2) and the agro-chemical parameters of soils were analysed. Till now, to gain values of mean, weighted mean and standard variance values, geometric analogues used in geography were adapted, which correspond to the mean centre (Equation 3), the spatially weighted mean centre (Equation 4), the standard distance (Equation 5), and the standard distance circle values. Robust spatial statistical values provide abstractions, which can be visually estimated immediately, and applied to analyse several parameters in parallel or in time series (Figure 1). This interpretation technique considers the spatial position of each point to another individually (distance and direction), and the value of the plant and soil parameters. Mapping the sample area in GIS environment, the coordinates of the spatially weighted mean centre values of the measured plant and soil parameters correlated to the mean centre values showed a northwest direction. Exceptions were the total salt and calcium-carbonate contents, and the molybdenum concentration of the soil samples (Table 1). As a new visual analysis, the spatially weighted mean centre values of the parameters as eigenvectors were projected to the mean centre values as origin. To characterize the production yield, the raw and digested sugar contents of the sample area, the absolute rotation angles of the generated vectors were determined, which indicate numerically the inhomogenity of the area (Figure 2). The generated spatial analogues are applicable to characterise visually and quantitatively the spatial positions of sampling points and the measured parameters in a quick way. However, their disadvantage is that they do not provide information on the tightness and direction of the spatial correlation similarly to the original statistical parameters.
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Optimization of Density of Sugar Beet (Beta vulgaris L.) Production Quotas by Pointwise Geostatistic Methods
46-50Views:85The regional distribution of the Hungarian sugar beet production quotas was developed by the conventional concurrency relationships. In our research we analyzed 320 sectors of 9 factories with geostatistic methods in a GIS environment. The applied researches of spatial mean, spatial deviation, deviational ellipse have been introduced by us in this speciality. We used two different methods in our optimization inquiries, where the spatial segment of the standard deviational ellipse was based on a more robust preliminary data processing solution, and this is why it is a less parametricable method. The inquiry of the spatial buffer zones in production sectors ensures an obvious optimization possibility. We considered the supply route distances in both cases as a modeling boundary condition. Our results show that we introduced an effective decision making method to the occurent replanning of the production sectors with the pointwise density inquiries and the geometric analogy that was fitted to it.