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Proximal Soil Nutrient Sensing in Cr...

Wrozyna, Mason Walter.

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Proximal Soil Nutrient Sensing in Croplands through Multispectral Imaging from Unmanned Aerial Vehicles (UAV) for Precision Agriculture Applications.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Proximal Soil Nutrient Sensing in Croplands through Multispectral Imaging from Unmanned Aerial Vehicles (UAV) for Precision Agriculture Applications./
Author:	Wrozyna, Mason Walter.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	179 p.
Notes:	Source: Masters Abstracts International, Volume: 81-09.
Contained By:	Masters Abstracts International81-09.
Subject:	Remote sensing. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27736780
ISBN:	9781392472316

Proximal Soil Nutrient Sensing in Croplands through Multispectral Imaging from Unmanned Aerial Vehicles (UAV) for Precision Agriculture Applications.
Wrozyna, Mason Walter.

Proximal Soil Nutrient Sensing in Croplands through Multispectral Imaging from Unmanned Aerial Vehicles (UAV) for Precision Agriculture Applications. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 179 p.

Source: Masters Abstracts International, Volume: 81-09.

Thesis (M.S.)--Trent University (Canada), 2020.

This item must not be sold to any third party vendors.

Currently, UAVs are deployed to measure crop health in a timely manner by mapping vegetation indices. A study using two different fields was conducted in order to search for a relationship that may exist between crop health and soil fertility. A UAV equipped with sensor technology was used for mapping of vegetation indices which were then statistically compared to soil nutrient data collected via soil sampling. Elevation data was also collected which was then statistically compared to soil nutrients as well as crop health. Results of this study were unfortunately impacted by variables outside of the researcher's control. Moisture became the greatest limiting factor in 2016 followed by an excess of rain in 2017. Results did not show any promising correlations as moisture uncontrollably became the defining variable. Further research in a more controlled setting will need to be conducted in order to explore this potential relationship.

ISBN: 9781392472316Subjects--Topical Terms:

535394
Remote sensing.
Subjects--Index Terms:

Multispectral imagery

Proximal Soil Nutrient Sensing in Croplands through Multispectral Imaging from Unmanned Aerial Vehicles (UAV) for Precision Agriculture Applications.
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245 1 0 $a Proximal Soil Nutrient Sensing in Croplands through Multispectral Imaging from Unmanned Aerial Vehicles (UAV) for Precision Agriculture Applications.
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300 $a 179 p.
500 $a Source: Masters Abstracts International, Volume: 81-09.
500 $a Advisor: Ponce-Hernandez, Raul.
502 $a Thesis (M.S.)--Trent University (Canada), 2020.
506 $a This item must not be sold to any third party vendors.
506 $a This item must not be added to any third party search indexes.
520 $a Currently, UAVs are deployed to measure crop health in a timely manner by mapping vegetation indices. A study using two different fields was conducted in order to search for a relationship that may exist between crop health and soil fertility. A UAV equipped with sensor technology was used for mapping of vegetation indices which were then statistically compared to soil nutrient data collected via soil sampling. Elevation data was also collected which was then statistically compared to soil nutrients as well as crop health. Results of this study were unfortunately impacted by variables outside of the researcher's control. Moisture became the greatest limiting factor in 2016 followed by an excess of rain in 2017. Results did not show any promising correlations as moisture uncontrollably became the defining variable. Further research in a more controlled setting will need to be conducted in order to explore this potential relationship.
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650 4 $a Agriculture. $3 518588
650 4 $a Environmental science. $3 677245
653 $a Multispectral imagery
653 $a Precision agriculture
653 $a Proximal soil sensing
653 $a Unmanned aerial vehicles
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710 2 $a Trent University (Canada). $b Environmental and Life Sciences. $3 2049953
773 0 $t Masters Abstracts International $g 81-09.
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