Novel approach for estimating nitrogen content in paddy fields using low altitude remote sensing system

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12520%2F16%3A43892124" target="_blank" >RIV/60076658:12520/16:43892124 - isvavai.cz</a>

Result on the web

<a href="http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B1/1011/2016/isprs-archives-XLI-B1-1011-2016.pdf" target="_blank" >http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B1/1011/2016/isprs-archives-XLI-B1-1011-2016.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5194/isprsarchives-XLI-B1-1011-2016" target="_blank" >10.5194/isprsarchives-XLI-B1-1011-2016</a>

Result language

angličtina

Original language name

Novel approach for estimating nitrogen content in paddy fields using low altitude remote sensing system

Original language description

Concerns over the use of nitrogen have been increasing due to the high cost of fertilizers and environmental pollutions caused by excess nitrogen application in agricultural fields. Several methods are available to assess the amount of nitrogen in crops, however, they are expensive, time-consuming, inaccurate, and/or require specialists to operate the tools. Researcher recently suggested remote sensing and specifically Low Altitude Remote Sensing (LARS) system of chlorophyll content in crop canopies as a low-cost alternative to estimate plant nitrogen status. The main objective of this study was to develop and test a new Vegetation Index (VI) to determine the status of nitrogen and chlorophyll content in rice leaf by analysing and considering all Visible (Vis) bands. Besides, capability of introduced VI has compared with all known VIs in both Vis and Near Infrared (NIR) bands in canopy scale. To develop the VI, images from 6-pannel leaf colour chart were acquired using Basler Scout scA640-70fc under light-emitting diode lighting, in which principal component analysis was used to retain the lower order principal component to develop a new index called I-PCA. A conventional digital camera mounted to an Unmanned Aerial Vehicle (UAV) was also used to acquire images over the rice canopy in Vis bands. Simultaneously, Tetracam agriculture digital camera was employed to acquire rice canopy image in Vis-NIR bands. The results indicated that the proposed index at canopy (r = 0.78) scale could be used as a sensor to determine the status of chlorophyll content consequently for monitoring nitrogen in rice plant through different growth stages. Moreover, results confirmed that a low-cost LARS system would be suited for high spatial and temporal resolution images and data analysis for proper assessment of key nutrients in crop farming in a fast, inexpensive and non-destructive way.

Czech name

—

Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

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

Publication year

2016

Confidentiality

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

Article name in the collection

XXIII ISPRS Congress, Commission I

ISBN

—

ISSN

2194-9034

e-ISSN

neuvedeno

Number of pages

4

Pages from-to

1011-1015

Publisher name

Copernicus Gesellschaft

Place of publication

Göttingen

Event location

Prague, CZECH REPUBLIC

Event date

Jul 12, 2016

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000392750100155