Identification of spatial variability of soil physico-chemical properties for precision farming

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F18%3A43914923" target="_blank" >RIV/62156489:43210/18:43914923 - isvavai.cz</a>

Výsledek na webu

<a href="https://stumejournals.com/journals/am/2018/4/117/pdf" target="_blank" >https://stumejournals.com/journals/am/2018/4/117/pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Identification of spatial variability of soil physico-chemical properties for precision farming

Popis výsledku v původním jazyce

Site-specific crop management practices, known as precision farming, requires information about detailed spatial distribution of soil physico-chemical properties related to the yield productivity. Traditional mapping of soil properties in form of soil sampling is inefficient for assessment of high level of spatial variability due to the high costs. For this reason, a study was conducted within the research projects NAZV QJ1610289 and TACR TH02030133 to evaluate the digital soil mapping techniques, including proximal sensing methods in the form of on-the-go measurement of soil electrical conductivity, for mapping of agronomical relevant soil properties.The experimental work was carried out on the selected fields of Rostenice a.s. farm enterprise, located in the South Moravia region of Czech Republic. Total area of 476 ha within eight fields was measured from 2013 to 2016 by using CMD-1 instrument (GF Instruments, Czech Republic) mounted on the plastic sledges. This device measures the electrical conductivity by the principle of electromagnetic induction (EMI) with 0.98 m dipole center distance and effective depth of measurement of 1.5 m (vertical mode) or 0.75 m (horizontal). Soil properties were obtained by soil sampling in irregular grid with the density of 1 sample per 3 ha. Soil samples were taken from the depth of 30 cm and analyzed for soil texture (percentage of clay, silt and sand particles), content of available nutrients (P, K, Mg, Ca), cation exchange capacity (CEC), soil organic matter content (SOM) and wilting point (WP). The results showed different level of spatial variability among the observed fields. The correlation analysis proved differences in main sensitivity of EMI to the soil properties, mainly the percentage of clay particles smaller than 0.002 mm (r = 0.598). The correlation between EMI and nutrients content in soil and pH value was significant only for few fields. These outcomes showed, that rather than predictor of soil properties could be on-the-go measurement of soil EC used for identification of main zones within the fields at high spatial level.

Název v anglickém jazyce

Identification of spatial variability of soil physico-chemical properties for precision farming

Popis výsledku anglicky

Site-specific crop management practices, known as precision farming, requires information about detailed spatial distribution of soil physico-chemical properties related to the yield productivity. Traditional mapping of soil properties in form of soil sampling is inefficient for assessment of high level of spatial variability due to the high costs. For this reason, a study was conducted within the research projects NAZV QJ1610289 and TACR TH02030133 to evaluate the digital soil mapping techniques, including proximal sensing methods in the form of on-the-go measurement of soil electrical conductivity, for mapping of agronomical relevant soil properties.The experimental work was carried out on the selected fields of Rostenice a.s. farm enterprise, located in the South Moravia region of Czech Republic. Total area of 476 ha within eight fields was measured from 2013 to 2016 by using CMD-1 instrument (GF Instruments, Czech Republic) mounted on the plastic sledges. This device measures the electrical conductivity by the principle of electromagnetic induction (EMI) with 0.98 m dipole center distance and effective depth of measurement of 1.5 m (vertical mode) or 0.75 m (horizontal). Soil properties were obtained by soil sampling in irregular grid with the density of 1 sample per 3 ha. Soil samples were taken from the depth of 30 cm and analyzed for soil texture (percentage of clay, silt and sand particles), content of available nutrients (P, K, Mg, Ca), cation exchange capacity (CEC), soil organic matter content (SOM) and wilting point (WP). The results showed different level of spatial variability among the observed fields. The correlation analysis proved differences in main sensitivity of EMI to the soil properties, mainly the percentage of clay particles smaller than 0.002 mm (r = 0.598). The correlation between EMI and nutrients content in soil and pH value was significant only for few fields. These outcomes showed, that rather than predictor of soil properties could be on-the-go measurement of soil EC used for identification of main zones within the fields at high spatial level.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

40104 - Soil science

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Mechanization in agriculture &amp; Conserving of the resources

ISSN

2603-3704

e-ISSN

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Svazek periodika

64

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

BG - Bulharská republika

Počet stran výsledku

3

Strana od-do

117-119

Kód UT WoS článku

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EID výsledku v databázi Scopus

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