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Development opportunities for storing and displaying of spatial data in long-term experiments
81-86Views:129Long-term experiments are required to evaluate the impact of irrigation, nutrient utilization, and year factor as well as to assess the potential consequences of climate change. However, in the long-term experiment, it may be necessary to display spatial data for each parcel, either for investigation of soil heterogeneity or presentation. This article aims to provide help for researchers working in long-term experiments for storing and displaying spatial data.
After the outlines of each experimental site were measured with GPS, a spatial database has been created in Quantum GIS. Then, a filter script in R statistical environment using RStudio graphical interface was written. The script helps avoid the QGIS data input interface so that large data can be attached to each parcel directly and as a result there is no need for a separate data entry, only the basic statistical database.
The created GIS database can be used in many ways; it can be exported to KML file format that can be displayed using Google Earth. It is possible to view exported KML files in Google Drive with importing them to Google My Maps application, and with that a browser can display the map. With the Google Drive the maps can be shared within the research group, additionally the outlines can be edited and it is possible to upload the measurement data to the attributes table to existing empty table columns. The map created in Quantum GIS can be used for presentation purposes.
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Mapping agricultural performance and environmental parameters aimed at generic regional studies
29-34Views:194In this paper we present the interim results and the methodology applied to create web GIS ready cartographic representations of agricultural performance related information and environmental parameters. The main aim of the research is to eventually create a web GIS based decision support system that can enable decsision makers and general users to create useful and representative map layouts of certain environment and agriculture related phenomena that can be easily analyzed and interpreted to make strategic decisions on environmental issues. In this aim the initial steps are to evaluate the available data for cartographic representation, analyze the possibilities of visualization, create a GIS ready data structure and implement the database and revise additional possibilities to incorporate further environment related datasets of auxiliary sources. The main results of the study are a comprehensive set of visual layouts that could serve as guideline for mapping statistical information of agriculture and some steps towards the incorporation of environmental parameters to the system.
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Spatially Discrete GIS Analysis of Sampling Points Based on Yield and Quality Analysis of Sugar Beet (Beta vulgaris L.)
32-37Views:106Fulfilment 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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Application of GIS, precision agriculture and unplugging cultivation in plant breeding of Karcag
49-56Views:187In the last two decades, the prevailing ecological conditions and climate change have caused negative effects. Therefore, a paradigm shift is needed in the field growing of plants. The latest inventions, digital technologies, precision cultivation are not enough, the mentality of the farmers is more important. For this reason, not only big financial sacrifices, but adequate receptivity are needed on behalf of farmers. Adequate skills and continuous self-education are necessary. The yield of plant growing farms is determined by ecological conditions to a 40% extent, genetic background of the seed has a 30% share and the applied agricultural technology has a proportion of 30%. In different agroecological conditions, bred varieties of plants have bigger tolerance to unfavorable factors of the regions and significant yield stability. Farmers, who buy and sow seeds, can only contribute to the genetic potential of the seeds with cultivation technology. Plant breeding provides stable genetic background and good quality seeds. Breeding activity – choosing variety proposants, breeding them, selection work, classical breeding process for 8-10 years – must create new landraces, which can produce balance, high yield and have good quality parameters in extreme ecological conditions, yearly excursion and have higher tolerance to unfavorable factors of the region giving significant production stability for farmers. In Karcag GIS technology, precision cultivation elements and soil-friendly agrotechnical methods have been introduced which largely support the aims of breeding and can also provide optimal cultivation conditions in extreme years. Because of the specificity of breeding the main aim is not only to increase yield but to provide harmonic growing for bred materials, to decrease the number and the cost of cultivation and to be punctual. In this study, applied new methods and technologies are introduced.
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The Usage of New Multispectral Satellites in Agro-Environmental Protection
282-289Views:134GIS, and especially remote sensing, offers great help in performing agro-environmental protection tasks. It can process a large amount of data to an arranged set of databases, and is also an excellent source of information. Moreover its keeps the geographical coordinates of all data during processing. The usage of remotely-sensed data is one of the most up-to-date and effective ways to observe, analyze and understand the complex phenomena taking place in all the spheres of agricultural production (soil, water, air), and also to track and monitor the changes of different environmental parameters, as they constantly change in time and space. Several indices will be described, which can be derived from remote sensed data. Next, a relatively new hyperspectral satellite sensor (MODIS) will be introduced, as it can be a input data source in research performed in agri-environmental protection. Last, a new meteorological satellite (MSG-1) will be introduced, as its data are available for public usage, and it could be an important data source.
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Conceptional Model of Regional Agricultural Water Management System
199-209Views:126Our study focuses on the water management improvement of the Hajdúsági-löszhát (loess ridge). The Hajdúsági-löszhát (loess ridge) is an intensive agricultural area. At the same time, the problem of increasing water demand is still not solved, so towards of safety production irrigation should be improved. To realise this should be known not even agricultural water demands but industrial and urban ones as well, thus a complex water management system is required to be worked out.
In the first part of the research, the water demand in the area is mapped, then a conceptional model of the Hajdúsági-löszhát’s (loess ridge’s) water management system is created. After collecting data the water management scenario is summarized in a real time model splitted into five periods.
During the research, the instruments of spatial informatics (GIS) are used to get acquainted with the variation of the hydrological parameters in space and time. To understand and simulate the different decision making processes and to choose the right decision alternative, a decision support system is created with the use of spatial informatics data.
In addition, considering the potentially right decision alternative, irrigation will be started in practice, an effect and after-effect inquiry will be made, and the results will be analysed, evaluated and summarized. Finally, a suggestion to the most adequate irrigation technology will be made. -
Visualization techniques in agriculture
95-98Views:158This paper describes a dynamic map representation method which provides a flexible, spectacular and cost-effective opportunity for the illustration and description of spatial data due to its parametrability, web-based publication and the free sowftare it uses in multi-user circumstances.
The tasks of the database serves and the processing were performed by an ASUS WL-500 G Premium v2 router and a 80 GB hard disk. The database contains the measured data of the nitrogen fertilisation experiment established on the Látókép Experiment Site of the Centre for Agricultural Sciences of the University of Debrecen. The tests showed that the generation time of the processor which was run through the router did not significantly increase. Therefore, the configuration developed by us is suitable for users who do not wish to invest into a large and expensive server, but they still want to view their data quickly and easily, as well as to reach them from anywhere.
The available data were not sorted into a database which was performed with Quantum GIS in a way to have an optimum database structure which is adjusted to the expected areas of use and the expected running speeds were also taken into consideration. The processor which processes the database items was written in PHP language. The main role of the processor is that it produces a KML file real time which is suitable for viewing with a given map viewer client (e.g. Google Earth). This application makes it possible to view information related to geographical objects, values stored in the database or those calculated by the processor on a map in 2D or 3D in a versatile way.
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Using integrated remote sensing methods in the Nagyerdő Natura 2000 area
19-24Views:206The more widely use of GIS, remote sensing technology provides appropriate data acquisition and data processing tools to build several national and international biodiversity monitoring system of environmental protection and natur conservation. The ChangeHabitats 2 is a similar international project, which uses airborne hyperspectral and airborne laser scanning (airborne LiDAR) sources beyond traditional data collection methods to build a monitoring system of Natura 2000 habitats. The goal of our research, on one hand, was to separate the most typical species of trees which can be found in the largest coverage in the research plots of Debreceni Nagyerdő Nature Reserve from field and airborne remote sensing data, use image classification that based on spectral and geometry (height) characteristics of the trees. On the other hand our goal was to evaluate the efficient use of the integration of mobilGIS, airborne hyperspectral and airborne LiDAR data collecting methods to complement or substitut of the traditional, field data collecting methods. We used ArcGIS 10.2 and Exelis 5.0 GIS software for data evaluation, in which the mosaicing, the selection of plots and the spectral image processing were carried out.
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Application of advanced environmental assessment methods in orchard management
221-225Views:151Our reseaches were carried out in apple and pear orchards at Farm and Regional Research Institute in Pallag of the University of Debrecen and Pear Gene Reservoir in Újfehértó. Aim of this study is to interpret and analyse field studies with the aim of a GIS based database. Furthermore, beside field measurements, airborne and field hyperspectraldatacollection and analysis were also made to facilitate special watermanagement and irrigation related surveys. The integration of unified, geoinformatics systems with high spatial resolution and calibrated airborne hyperspectral data are appropriate tool for decision support systems, which support the continuous update and actualization of the changing cropping data, the analysis of cropping results in a unified complex data system, the acquiring of agro environmental subsidies, the establishment of monitoring system, and the optimization of irrigated fruit production.
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Optimization of Density of Sugar Beet (Beta vulgaris L.) Production Quotas by Pointwise Geostatistic Methods
46-50Views:105The 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.
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Usage of different remote sensing data in land use and vegetation monitoring
7-12Views:153The 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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Experiences of Establishing Up-To-Date On-Site Sampler Applications
210-241Views:94Spatial problems and spatial decisions are decisive in agricultural-environmental informatics systems and the solutions require systems that can collect, evaluate and display spatial data. The distinctive features of spatial informatics systems therefore have to be considered when establishing integrated spatial informatics systems.
However, the prepared spatial evaluations are not the only „added value” elements of a completed informatics system. The method of access can also speed up the work of participants and the whole system, making it more efficient with simple data-handling and the application of open standards. The significance of prepared database archives can also increase, since the accumulated data-assets are easy to utilize and become marketable. -
Application of hydrological models for agri-environmental management based on international and national experiences
45-50Views:171The ecological restoration of surface water flows requires the use of complex GIS and hydrological models. The HEC -RAS and MIKE11 programs calculate the hydraulic characteristics of runoff using the geometry and bed resistance the of flows. The presentation of some possible applications made through an example of the Berettyó, which is an extremely regulated river. The river belongs to the meandering category by Parker's classification system, which uses the relationship of the slope-Froude number and the depth- width ratio. Three coefficient of the four determining factor (entrenchment ratio, slope of water level, width-depth ratio) also indicates a mediocre to high sinuosity, while the river regulations established nearly straight bed-line. The standard water flow rates and characteristics have been determined based on the modeled Froude and Reynolds numbers. The flow conditions shifted to the laminar type by the changed line drawing which is ecologically lower status. Based on the results the morphological and ecohydrological river rehabilitation is appropriate.
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Analysis of the Relation Between the Relief and the Surface Water Network
90-93Views:66The Bihar plain situated in the Great Hungarian Plain has altitudinal values between 87 and 108 meters above Baltic level and these low average values decreases from East to West. We can find on this place a surface water network with a high density; the most of them was created for diversion of inland water.
The GIS is the best practice for modelling and simulating the relief and the water network. Towards the creation of the TIN model and relief- analysis we need the digital elevation model as well as the digital water network dataset for the whole territory. The source of the data was topographic maps on high scale level (1:10.000). -
Virtual Soil Information Systems in the Bihar Subregion and at Tedej Corp
186-189Views:114After evaluating the sample sites’ soils and environmental status, we built up 2 different soil information systems. The first relies on analog data (soil maps), and is based on a regional model; its sample site is the Bihar sub-region. The second is a complex, field scale virtual 3D system, based on several types of data sources. (Aerial photos, GPS, field samples, hyper and multispectral images, soil maps). In this paper, we analyze and evaluate these systems. The greatest advantage of the models is that, with their usage, we can reveal connections which cannot be made by analyzing the individual elements of our data sources. We discovered that with the help of our systems, the monitoring and evaluating of the processes taking place in the soil is more fast and simple.
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Economic questions of precision maize production on chernozem soil
293-296Views:132It 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. -
Impact of precision irrigation on the unit income of maize production
157-162Views:80The study of the economic/economic impact of precision farming should be a priority area in digital agriculture, as the results, profitability, and efficiency indicators can have a significant decision-support effect on the development of both the agronomic and the technical regions of individual farms both in the longer and shorter term. Individual firms, companies, farmers, and family farms quantify the effectiveness of their farming processes. The modern age offers the possibility of digitally recording all the elements of farming technology, making it possible to analyse the cost-effectiveness of a farm more effectively and, in some cases, to carry out more detailed analyses. Nevertheless, the number of farms demonstrating their profitability with such precise economic calculations is still minimal.
Our analyses were conducted on a 56,02 ha field of Balogh Farm-Tépe Ltd. The agricultural operations carried out were fully documented so that the inputs (seeds, fertilisers, pesticides, crop enhancers) were recorded in coordinates and kind, as well as the specific yields, grain moisture data, irrigation norms, and irrigation rotations. At the same time, the company's owner provided the data's monetary value. The main econometric indicators (yield, production value, cost of production, income, cost price) related to the evaluation of the enterprise management were evaluated along with the spatial data in the irrigated and non-irrigated tables. Our calculations show that a given year's climatic and market characteristics fundamentally determine the cost and income relations of a plot of land (and thus of an entire farm). In addition to additional inputs, introducing some elements of precision farming and intensification and increasing yields improves yield security and allows for excellent yield stability.
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Evaluation of Soil Degradation Based on High Resolution Remote Sensing Data
145-148Views:104Soil salinity is the main problem of soil degradation in the Grate Plain with cultivated area of 20% affected. Its influence is accelerated on the water managed and irrigated lands. Remote sensing can significantly contribute to detecting temporal changes of salt-related surface features. We have chosen a farm where intensive crop cultivation takes place as a test site as soil degradation can be intensive as a result of land use and irrigation. In order to evaluate soil salt content and biomass analysis, we gathered detailed data from an 100x250 m area. We analyzed the salinity property of the samples. In our research we used a TETRACAM ADC multispectral camera to take high resolution images (0,2-0,5 m) of low altitude (300-500 m). A Normalized Vegetation Index was computed from near infrared (750-950 nm) and red (620-750 nm) bands. This data was compared with the samples of investigated area. Analyzing the images, we evaluated image reliability, and the connection between the bands and the soil properties (pH, salt content). A strong correlation observed between NDVI and soil salinity (EC) makes the multispectral images suitable for construction of salinity map. A further strong correlation was determined between NDVI and yield.
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Accuracy of Location Identification by GPS and Possibilities for its Application in Agriculture
157-160Views:100A description of the design and operating principle of the GPS system and the explanation of key terms of telemetric and chronometric measurements is followed by several examples characteristic of the results of factors which may influence accuracy of the identification of geographic location by satellites. In addition, results of accuracy testing of absolute GPS measurements and improvements of accuracy experienced and attributable to the alteration of the periods used for establishing average values are highlighted. Furthermore, we examined certain practical possibilities for the use of GPS systems in agriculture, emphasizing the advantages hidden in the use of GIS-GPS integration, crop mapping, soil maps and gross produce maps, in the application of the VRT (Variable Rate Technology) and in combinations of the same.
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Analysis of the plant physiological effects of late, artificial corn smut infestation using remote sensing methods
31-35Views:177In Hungary, corn is also infected by several important pathogens. In this experiment, we analysed the plant physiological effects of artificial late cron smut infestation using remote sensing methods under field conditions We examined the experimental area from which the data comes from with a DJI Phantom 4 Multispectral Drone NDVI and NDRE indices were calculated and analyzed in GIS programs. Individuals treated with a higher dose remained much greener than the untreated control. They also showed significant differences within the indices used.
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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:151The 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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Development of a Decision Assisting Soil Information System in Agriculture
130-133Views:81Hungarian agriculture may be characterized by the industry-like, conventional farming of the past decades. This form of management concentrated exclusively on functions aimed at production. We have to decrease this disproportion, especially when joining to the EU, by reducing the intensive agricultural regions and adjusting to the goals of the 2000-2006 NAEP programmes, forming such an agricultural system which integrates the advantages of both environmental protection and complex agricultural systems based on rational foundations. Nevertheless it’s a rational decision to make the soil information system with an exact spatial informatics background as a foundation of agricultural system, because this promotes easy handling as well the connection to possible subsequent modules.
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Challenges and limtations of site specific crop production applications of wheat and maize
101-104Views:148The development and implementation of precision agriculture or site-specific farming has been made possible by combining the Global Positioning System (GPS) and the Geographic Information Systems (GIS). Site specific agronomic applications are of high importance concerning the efficiency of management in crop production as well as the protection and maintenance of environment and nature. Precision crop production management techniques were applied at four locations to evaluate their impact on small plot units sown by wheat (Triticum aestivum L.) and maize (Zea mays L.) in a Hungarian national case study. The results obtained suggest the applicability of the site specific management techniques, however the crops studied responded in a different way concerning the impact of applications. Maize had a stronger response regarding grain yield and weed canopy. Wheat was responding better than maize concerning plant density and protein content performance.
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Characterisation of basic water balance parameters of Debrecen
35-40Views:239This work aims to develop a hydrological modelling tool to help managers make the right decisions for Debrecen, in the face of water scarcity and the increase in agricultural and domestic needs over time. The methodology was based on the creation of a climatic database, at monthly time steps, from 2016 to 2019, and cartographic (land use, digital elevation model, and hydrological network). As a next step, the watershed was delimitated into sub-basins to determine the shape and the physiographic characteristics of sub-watersheds. Finally, a hydrological study was prepared by calculating the time of concentration to build a database of water resources in the study area. This water resource will be used as an input parameter for urban farming.
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Usage of Different Spectral Bands in Agricultural Environmental Protection
123-126Views:97Hyper and multispectral imaging systems are widely used in agricultural and environmental protection. Remote sensing techniques are suitable for evaluating environmental protection hazarsd, as well as for agriculture resource exploration. In our research we compared aerial hyper and multispectral images, as well as multispectral digital camera images with the background data from the test site. Hyperspectral records were obtained using a new 80-channeled aerial spectrometer (Digital Airborne Imaging Spectrometer /DAIS 7915/. We have chosen two farms where intensive crop cultivation takes place, as test sites, so soil degradation and spreading of weeds can be intensive as a result of land use and irrigation. We took additional images of air and ground with a TETRACAM ADC wide band multispectral camera, which can sense blue, green and near infrared bands. We had detailed GIS database about the test site. Weed and vegetation map of the area in the spring and the summer was made in 2002. For soil salt content analysis, we gathered detailed data frome an 80x100 m area. When analyzing the images, we evaluated image reliability, and the connection between the bands and the soil type, pH and salt content, and weed mapping. In the case of hyperspectral images, our aim was to choose and analyze the appropriate band combinations. With a TETRACAM ADC camera, we made images at different times, and we calculated canopy, NDVI and SAVI indexes. Using the background data mentioned above, the aim of our study was to develop a spectral library, which can be used to analyze the environmental effects of agricultural land use.