. . "Mimra, Miroslav" . "yield, soil electric conductivity, precision agriculture, data processing, maps"@en . "MO\u017DNOSTI ZPRACOV\u00C1N\u00CD DAT ELEKTRICK\u00C9 VODIVOSTI P\u016EDY"@cs . "Altmann, Vlastimil" . . . . "[6AA6E384315C]" . "Electrical conductivity measurement of soil may represent an easy and affordable method of a quick estimation of the soil variability within plots. The subject of the research was to analyze the soil conductivity data collected using contact sensor and to determine correlation between electrical conductivity of soil and yield. The data were collected on experimental plots of the Research Institute of Crop Production in Prague - Ruzyn\u011B. This paper presents results of a technique that analyzes yield based on the Boundary Line method. The best method of data analysis is utilization of GIS software, such as ArcView. Geographic information systems may provide better analytic results thanks to utilization of all data collected for calculation. As for simple statistical software products, there are differences between the original datasets and data used for analysis. GIS may use all data measured in the close vicinity for expressing the correlation. This is possible thanks to minimization of errors"@en . "Pro\u0161ek, V\u00E1clav" . "MO\u017DNOSTI ZPRACOV\u00C1N\u00CD DAT ELEKTRICK\u00C9 VODIVOSTI P\u016EDY" . . "41310" . . . "MO\u017DNOSTI ZPRACOV\u00C1N\u00CD DAT ELEKTRICK\u00C9 VODIVOSTI P\u016EDY"@cs . "0;0" . "M\u011B\u0159en\u00ED elektrick\u00E9 vodivosti p\u016Fdy m\u016F\u017Ee b\u00FDt jednoduch\u00FDm a levn\u00FDm zp\u016Fsobem, jak rychle odhadnout charakteristiky p\u016Fdn\u00ED variability honu. P\u0159edm\u011Btem v\u00FDzkumu byla anal\u00FDza dat vodivosti p\u016Fdy z\u00EDskan\u00FDch pomoc\u00ED kontaktn\u00EDho senzoru a ur\u010Den\u00ED vz\u00E1jemn\u00E9ho vztahu mezi elektrickou vodivost\u00ED p\u016Fdy a v\u00FDnosem. Data byla nam\u011B\u0159ena na pokusn\u00FDch pozemc\u00EDch V\u00FDzkumn\u00E9ho \u00FAstavu rostlinn\u00E9 v\u00FDroby v Praze \u2013 Ruzyni. Tento \u010Dl\u00E1nek ukazuje v\u00FDsledky techniky analyzuj\u00EDc\u00ED v\u00FDnos na principu \u201EMetody mezn\u00ED k\u0159ivky\u201C. Nejlep\u0161\u00ED cesta pro anal\u00FDzu dat je pou\u017Eit\u00ED GIS softwaru jako nap\u0159. ArcView. GIS mohou d\u00EDky pou\u017Eit\u00ED v\u0161ech nam\u011B\u0159en\u00FDch dat k v\u00FDpo\u010Dt\u016Fm poskytnout lep\u0161\u00ED v\u00FDsledky anal\u00FDz. U jednoduch\u00FDch statistick\u00FDch softwar\u016F existuj\u00ED rozd\u00EDly mezi p\u016Fvodn\u00EDmi soubory dat a daty pou\u017Eit\u00FDmi k anal\u00FDze. GIS mohou pou\u017E\u00EDt k anal\u00FDze vz\u00E1jemn\u00FDch vztah\u016F v\u0161ech nam\u011B\u0159en\u00FDch dat i hodnot z bl\u00EDzk\u00E9ho okol\u00ED. Toto je mo\u017En\u00E9 d\u00EDky interpolaci okoln\u00EDch dat k hodnot\u011B v jin\u00E9 vrstv\u011B s rozd\u00EDlnou sou\u0159adnic\u00ED polohy." . "5"^^ . "Neuvedeno, 0" . . "Ry\u0161an, Ladislav" . "Trendy vo v\u00FDskume a v\u00FDvoji po\u013Enohospod\u00E1rsk\u00FDch strojov a technol\u00F3gi\u00ED v ekosyst\u00E9me kult\u00FArnej krajiny" . "5"^^ . . "80-8069-523-7" . . "M\u011B\u0159en\u00ED elektrick\u00E9 vodivosti p\u016Fdy m\u016F\u017Ee b\u00FDt jednoduch\u00FDm a levn\u00FDm zp\u016Fsobem, jak rychle odhadnout charakteristiky p\u016Fdn\u00ED variability honu. P\u0159edm\u011Btem v\u00FDzkumu byla anal\u00FDza dat vodivosti p\u016Fdy z\u00EDskan\u00FDch pomoc\u00ED kontaktn\u00EDho senzoru a ur\u010Den\u00ED vz\u00E1jemn\u00E9ho vztahu mezi elektrickou vodivost\u00ED p\u016Fdy a v\u00FDnosem. Data byla nam\u011B\u0159ena na pokusn\u00FDch pozemc\u00EDch V\u00FDzkumn\u00E9ho \u00FAstavu rostlinn\u00E9 v\u00FDroby v Praze \u2013 Ruzyni. Tento \u010Dl\u00E1nek ukazuje v\u00FDsledky techniky analyzuj\u00EDc\u00ED v\u00FDnos na principu \u201EMetody mezn\u00ED k\u0159ivky\u201C. Nejlep\u0161\u00ED cesta pro anal\u00FDzu dat je pou\u017Eit\u00ED GIS softwaru jako nap\u0159. ArcView. GIS mohou d\u00EDky pou\u017Eit\u00ED v\u0161ech nam\u011B\u0159en\u00FDch dat k v\u00FDpo\u010Dt\u016Fm poskytnout lep\u0161\u00ED v\u00FDsledky anal\u00FDz. U jednoduch\u00FDch statistick\u00FDch softwar\u016F existuj\u00ED rozd\u00EDly mezi p\u016Fvodn\u00EDmi soubory dat a daty pou\u017Eit\u00FDmi k anal\u00FDze. GIS mohou pou\u017E\u00EDt k anal\u00FDze vz\u00E1jemn\u00FDch vztah\u016F v\u0161ech nam\u011B\u0159en\u00FDch dat i hodnot z bl\u00EDzk\u00E9ho okol\u00ED. Toto je mo\u017En\u00E9 d\u00EDky interpolaci okoln\u00EDch dat k hodnot\u011B v jin\u00E9 vrstv\u011B s rozd\u00EDlnou sou\u0159adnic\u00ED polohy."@cs . . . . . "Dudince" . "Nitra" . . . "2005-06-02+02:00"^^ . "531525" . "POSSIBILITY OF SOIL ELECTRIC CONDUCTIVITY AND YIELD DATA PROCESSING"@en . "RIV/60460709:41310/05:11412!RIV06-MSM-41310___" . "RIV/60460709:41310/05:11412" . . . . . "Kroul\u00EDk, Milan" . "Z(MSM6046070905)" . "1"^^ . . "Slovensk\u00E1 po\u013Enohospod\u00E1rska univerzita v Nitre" . "MO\u017DNOSTI ZPRACOV\u00C1N\u00CD DAT ELEKTRICK\u00C9 VODIVOSTI P\u016EDY" . "POSSIBILITY OF SOIL ELECTRIC CONDUCTIVITY AND YIELD DATA PROCESSING"@en .