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Application of GIS, precision agriculture and unplugging cultivation in plant breeding of Karcag
49-56Views:193In 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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Development of a Decision Assisting Soil Information System in Agriculture
130-133Views:82Hungarian 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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Usage of Different Spectral Bands in Agricultural Environmental Protection
123-126Views:99Hyper 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.