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Different soil fertility conditions depending on different land use methods
169-172Views:185In precision nutrient management the most important aspect is adaptation but we should consider the possibility of the long-term improvement of soil fertility within the less fertile landscape zones. This possibility can be evaluated principally by long-term field experiments, which are running on similar soil types. The results of these field experiments can indicate that which soil fertility status should be attained. Some more important soil fertility data, (such as pH, P-, K- and soil organic matter (SOM) content) of a long-term field experiment with increasing farmyard manure(FYM) doses or equivalent NPK fertilizers, set up on an Eutric cambisol, are presented. The yieldincreasing capacity of FYM doses was only 82%, as compared to the equivalent amount of mineral NPK, but long-term FYM treatments resulted in 10% higher SOM content than that of equivalent NPK
fertilizer doses. The studies indicate that SOM content is a function of local climate and clay content of the soil, and neither long-term high FYM doses can increase SOM content steadily above a supposed steady-state value. However we have to make efforts to keep the optimum level. The lowest soil reactions developed both with the highest NPK doses and without any fertilization. AL-P2O5 content of soil was increased more by mineral fertilization than by FYM treatments, but in case of AL-K2O content there was no difference between the fertilization variants. However the highest doses of both fertilization variants increased soil nutrient content to an excessive degree. Wecould get very valuable data from the unfertilized control plots as well, where long-term yield data suppose 48 kg ha-1 year-1 air-borne N-input. -
Stand evaluation, crop estimation and yield analysis of winter wheat for the optimization of yields
103-109Views:219The authors have been carrying out stand evaluation, crop estimation and yield analysis in winter wheat since 2012. The sampling areas were assigned at the fields of the Training Farm of the Faculty of Agricultural and Food Sciences of Széchenyi István University Mosonmagyaróvár according to the structure of the cropping system. According to their observations the value of field emergence is always lower than the laboratory germination. The weak emergence is important because the lower plant density cannot be compensated by the increased tillering in spite of having larger plant growth space. It is proven by the fact that they detected strong productive tillering even at 5 and 10 mm plant spacing while there were single-spiked plants at 40-50 mm plant spacing as well. The analysis revealed that the total ear mass and grain mass of wheat plants bearing two or more ears is almost the double than that of the single-spiked plants. It was a further basic experience that the largest ear of ”multiple-spiked” plants is always heavier than the single ear of one-spiked plants. Plants with intense tillering and more ears demonstrate the importance of proper seedbed preparation and drilling and the significance of sowing good quality seeds. These are the factors that determine field germination and emergence, influence the speed and intensity of initial development and by all these factors the sufficient productive tillering. The authors emphasize the use of exact and objective methods at crop estimation, e.g. the relationship between the ear mass and the yield which is in strong correlation whilst ear length and grain mass are not suitable for a precise estimation. The authors conclude that crop estimation and yield analysis must be inevitable tools of modern crop production and will be particularly important in precision agriculture. These tools also qualify the job done by farmers and helps to identify the areas that require special attention.
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Stability and development of Transdanubian agricultural enterprises
77-82Views:214Personal fulfilment, financial security, flexibility, relationships, information, rules - these are all hallmarks of entrepreneurship. Furthermore, one more important factor should be added to the list, which enables satisfaction resulting from reliable income and self-fulfillment: this is openness. An open mind to changes, to novelties, and to the workforce is necessary. The central question of the present research is how to effectively develop Hungarian small and medium-sized agricultural enterprises, especially in the Transdanubian region, by utilizing these factors. In addition to production, institutional and price risks, agricultural enterprises, like other sectors, are also affected by massive labour shortages and resource-intensive development objectives. In the research, primary agricultural producers, micro, small and medium-sized enterprises were surveyed through questionnaire in the second and third quarters of 2019. Using the snowball method, both the development opportunities and the risks were mapped in this sector, mostly among growers. The research results show that there is a correlation between satisfaction and development and favorable workplace relationships. These correlations were presented by demonstrating the relationship between technological development, income satisfaction, stable job creation, and the need to try new developments. However, there seems to be an invisible boundary to development in the examined field, which may stem from uncertainty, and yet, it is important to maintain development and learning activity so that the right knowledge and know-how is available to the business when needed. Since the results show that there is a lack of openness to new technologies among the farmers in the studied region, and this may pose a problem in the future in terms of meeting the expectations of precision farming, it is recommended to focus on innovation in the agricultural sector in Hungary.
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Precision crop production and artificial intelligence – the future of sustainable agriculture
47-58Views:591According to Kay et al. (2004, in Shockley et al., 2017), there are seven steps to the decision-making process: 1) Identify the problem or opportunity, 2) Identify the alternative solution, 3) Collect all data and information, 4) Analyse the alternatives and make a decision, 5) Implement the decision, 6) Monitor the results of the decision, 7) Accept responsibility for the decision. The basic question is what kind of tasks we can perform in the decision-making process and what to leave for Artificial Intelligence (AI).
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Spatially Continuous GIS Analysis of Sampling Points Based on Yield and Quality Analysis of Sugar Beet (Beta vulgaris L.)
56-61Views:294The homogeneity of a study area of 20x20 m used for beetroot production in North-West Hungary was analysed with geo-statistical methods on the basis of measured plant and soil parameters. Based on variogram calculations (Equation 1 and 2), the yield surface showed homogeneity in North-South direction. Considering the results, decrease of sampling distance to 17 m can be suggested. The direction of the variability of yield (Figure 1) could be modelled with a direction variogram based on analysis of the variogram surface. In the study, developed methodological processes are presented for the analysis of spatial relationship between measured production and soil parameters. 5 spatial evaluation methods for yield surface were compared (Table 1). On the basis of the analysed methods, it can be stated that different methods (LP, RBF) should be used when the reasons for locally extreme yields are in focus than in case when the yield surface of the whole area is estimated (IDW, GP). Using adequate parameters the kriging method is applicable for both functions. Similarly to the results of an ordinary Pearson correlation analysis, spatial correlation analysis was shown using soil pH and Cu concentration data. The results of cross variogram analysis (Equation 2) and the North-South direction of the variogram surface showed negative correlation (Figure 3). Based on simulation calculations, decrease of 30% in sampling points resulted in increase of 12% in error for the total sample number considering Cu concentration. The method provides a tool to decrease the cost of sampling and sample analyses of spatially correlating features, and to increase the reliability of spatial estimation using a better sampling strategy with the same sample number.
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Usage of different remote sensing data in land use and vegetation monitoring
7-12Views:298The use of remote sensing in forest management and agriculture is becoming more prominent. The rapid development of technology allowed the emergence of database suitable for precision application in addition to the previously used low-resolution and low data content images. The high resolution, hyperspectral images are not only suitable for separating the different land use categories and vegetation types but also for examining the soil characteristics and biophysical features of plants (Blackburn and Steel, 1999; Condit, 1970). We processed a multispectral satellite image (Landsat 7 ETM+) and a hypespectral areal image (DAIS 7915) about a farm on the plains and evaluated the different image classification methods. During our examinations, we examined the geometrical and radiometrical characteristics of images first, then assigning the training areas, we determined the spectral characteristics of land use categories. We performed a multispectral analysis for checking land use, where we compared controlled and uncontrolled classification systems to check their reliability. We used areal and spectral reductions to make the classifications more accurate and to reduce the length of calculations.
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Agronomic bases of precision barley production
217-220Views:198To ascertain the importance of individual preciosion factors in achieving yield and quality of malting barley, we established a multifactor
experiment at the research station of the Slovak University of Agriculture in Nitra in 2009 and 2010. Four variants of fertilization, 2 ways of soil cultivation and four varieties 'Bojos’, 'Kangoo’, 'Marthe’ and 'Xanadu’ were observed. From the quality indicators the nitrogen content (%) was observed. The results were statistically analyzed by using a multifactor analysis of variance by using Statistica 8, the program Statgraphics. The difference between years was statistically significant (1.87 t ha-1) in favour of 2010. The difference was also significant between the varieties 'Bojos’ and ’Kangoo’(1.07 t ha-1), respectively. 'Martha’ and 'Xanadu’ as well as 'Kangoo’ (0.56 resp. 0.33 t ha-1). Conventional soil cultivation in
comparison with a minimalization technology, demonstrated a tatistically insignificant increase of yield. Significant differences were obtained between the variants of fertilization. Treatment by using Condit (b-var.) showed a very positive impact in climatic favorable year (2010) with a yield result of 7.42 t ha-1. In comparison with an untreated control, the difference in yield was 0.89 t ha-1. A significant increase of yield was achieved by using the combination of solid fertilizer with foliar fertilizer (LAV + Hakofyt, var.c) 0.47 t ha-1. The crude protein content was statistically influenced by a variety and year. In 2009, the crude protein content was above average (12.38%). Significantly lower attributes were achieved in 2010 (9.90%). From the studied/observed varieties the lowest crude protein content was showed by a variety 'Kangoo’ (1.68%).