Application of Remote Sensing in Precision Agriculture

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F14%3A00234593" target="_blank" >RIV/62156489:43210/14:00234593 - isvavai.cz</a>

Výsledek na webu

<a href="http://hydap.czechglobe.cz/sites/default/files/monografie/web_Airborne%20Remote%20Sensing.pdf" target="_blank" >http://hydap.czechglobe.cz/sites/default/files/monografie/web_Airborne%20Remote%20Sensing.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Application of Remote Sensing in Precision Agriculture

Popis výsledku v původním jazyce

Site specific management, known as precision agriculture, is an internationally unified term for directions of land management using new technologies that began to be developed in the eighties and early nineties of the twentieth century. The aim of precision agriculture is an optimization of production inputs (fertilizers, pesticides, fuel, etc.) based on the local crop requirements and soil condition. Crop management in this way can lead to economically efficient use of agrochemicals and minimization of environmental risks. Hyperspectral imaging, as part of remote sensing methods used in agriculture, proved its ability to identify spatial variability of spring barley crop parameters, important for yield formation. Narrow band vegetation indices were used to estimate above-ground canopy biomass and chlorophyll-meter values for the whole field using 10 calibration points. Results in the form of maps could be used for site specific decision making in precision agriculture.

Název v anglickém jazyce

Application of Remote Sensing in Precision Agriculture

Popis výsledku anglicky

Site specific management, known as precision agriculture, is an internationally unified term for directions of land management using new technologies that began to be developed in the eighties and early nineties of the twentieth century. The aim of precision agriculture is an optimization of production inputs (fertilizers, pesticides, fuel, etc.) based on the local crop requirements and soil condition. Crop management in this way can lead to economically efficient use of agrochemicals and minimization of environmental risks. Hyperspectral imaging, as part of remote sensing methods used in agriculture, proved its ability to identify spatial variability of spring barley crop parameters, important for yield formation. Narrow band vegetation indices were used to estimate above-ground canopy biomass and chlorophyll-meter values for the whole field using 10 calibration points. Results in the form of maps could be used for site specific decision making in precision agriculture.

Druh

C - Kapitola v odborné knize

CEP obor

GC - Pěstování rostlin, osevní postupy

OECD FORD obor

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Projekt

<a href="/cs/project/QI111A133" target="_blank" >QI111A133: Zlepšení využití odrůdového potenciálu obilnin na základě časové a prostorové analýzy spektrálních charakteristik porostu</a><br>

Návaznosti

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

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Airborne remote sensing: theory and practice in assessment of terrestrial ecosystems

ISBN

978-80-87902-05-9

Počet stran výsledku

13

Strana od-do

97-109

Počet stran knihy

159

Název nakladatele

Global Change Research Centre AS CR

Místo vydání

Brno

Kód UT WoS kapitoly

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