OrangerV1, PascalFrancis, Curation, bibRecord, 000098

Field spectra and airborne digital imagery for detecting phytophthora foot rot infections in citrus trees

Identifieur interne : 000098 ( PascalFrancis/Curation ); précédent : 000097; suivant : 000099

Field spectra and airborne digital imagery for detecting phytophthora foot rot infections in citrus trees

Auteurs : Reginald S. Fletcher [États-Unis] ; Mani Skaria [États-Unis] ; David E. Escobar [États-Unis] ; James H. Everitt [États-Unis]

Source :

HortScience [ 0018-5345 ] ; 2001.

RBID : Pascal:01-0248860

Descripteurs français

Pascal (Inist)
- Caractéristique spectrale, Coefficient réflexion, Mycose, Spectre IR proche, Spectre visible, Symptomatologie, Détection, Localisation, Spectroradiométrie, Imagerie, Image numérique, Photographie aérienne, Photographie fausse couleur, Photographie IR, Temps réel, Canopée, Houppier, Verger, Agrume, Arbre fruitier, Phytophthora nicotianae, Citrus paradisi, Citrus sinensis, Texas, Etude sur terrain, Etude méthode, Analyse image, Photointerprétation.
Wicri :
- topic : Verger, Agrume.

English descriptors

KwdEn :
- Aerial photography, Citrus fruit, Detection, Digital image, Image analysis, Imagery, Mycosis, Photointerpretation, Phytophthora nicotianae, Spectral data, Texas.

Abstract

Phytophthora foot rot, caused by Phytophthora parasitica (Dast), can result in economic losses for the citrus industry in the Lower Rio Grande Valley of Texas. Therefore, locating foot rot-infected trees in citrus groves is important to citrus growers. Symptoms of the infection include leaf yellowing, canopy defoliation, twig dieback, and short growth flushes. This study evaluated the use of the latest remote sensing technology, that of airborne digital imagery, for the detection of citrus trees exhibiting mild symptoms of foot rot infection. Airborne color-infrared (CIR) digital imagery of two citrus orchards having problems with foot rot infection was acquired. In addition to the aerial digital imagery, ground spectroradiometric measurements were conducted to determine the visible and near-infrared (NIR) spectral reflectance differences between healthy and infected trees. These measurements were also used to help interpret the color tonal renditions between the trees. The CIR digital imagery distinguished infected from noninfected trees. The noninfected trees had a bright red-magenta color rendition, while the infected trees had a dull grayish red tonal response. The NIR spectroradiometric and digital readings were significantly lower for infected trees than for healthy ones (P ≤ 0.05), whereas the visible reflectance and digital data revealed no significant differences between the trees. The infected trees' dull tonal response in the CIR image was attributed to their lower NIR light intensity. These results indicated that digital imagery has potential for detecting foot rot-infected trees in citrus groves based upon NIR spectral differences. The advantage of airborne digital imagery is its real-time survey for quick field assessment.

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C01	`01`		`ENG`	@0 Phytophthora foot rot, caused by Phytophthora parasitica (Dast), can result in economic losses for the citrus industry in the Lower Rio Grande Valley of Texas. Therefore, locating foot rot-infected trees in citrus groves is important to citrus growers. Symptoms of the infection include leaf yellowing, canopy defoliation, twig dieback, and short growth flushes. This study evaluated the use of the latest remote sensing technology, that of airborne digital imagery, for the detection of citrus trees exhibiting mild symptoms of foot rot infection. Airborne color-infrared (CIR) digital imagery of two citrus orchards having problems with foot rot infection was acquired. In addition to the aerial digital imagery, ground spectroradiometric measurements were conducted to determine the visible and near-infrared (NIR) spectral reflectance differences between healthy and infected trees. These measurements were also used to help interpret the color tonal renditions between the trees. The CIR digital imagery distinguished infected from noninfected trees. The noninfected trees had a bright red-magenta color rendition, while the infected trees had a dull grayish red tonal response. The NIR spectroradiometric and digital readings were significantly lower for infected trees than for healthy ones (P ≤ 0.05), whereas the visible reflectance and digital data revealed no significant differences between the trees. The infected trees' dull tonal response in the CIR image was attributed to their lower NIR light intensity. These results indicated that digital imagery has potential for detecting foot rot-infected trees in citrus groves based upon NIR spectral differences. The advantage of airborne digital imagery is its real-time survey for quick field assessment.
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Le document en format XML

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<front><div type="abstract" xml:lang="en">Phytophthora foot rot, caused by Phytophthora parasitica (Dast), can result in economic losses for the citrus industry in the Lower Rio Grande Valley of Texas. Therefore, locating foot rot-infected trees in citrus groves is important to citrus growers. Symptoms of the infection include leaf yellowing, canopy defoliation, twig dieback, and short growth flushes. This study evaluated the use of the latest remote sensing technology, that of airborne digital imagery, for the detection of citrus trees exhibiting mild symptoms of foot rot infection. Airborne color-infrared (CIR) digital imagery of two citrus orchards having problems with foot rot infection was acquired. In addition to the aerial digital imagery, ground spectroradiometric measurements were conducted to determine the visible and near-infrared (NIR) spectral reflectance differences between healthy and infected trees. These measurements were also used to help interpret the color tonal renditions between the trees. The CIR digital imagery distinguished infected from noninfected trees. The noninfected trees had a bright red-magenta color rendition, while the infected trees had a dull grayish red tonal response. The NIR spectroradiometric and digital readings were significantly lower for infected trees than for healthy ones (P ≤ 0.05), whereas the visible reflectance and digital data revealed no significant differences between the trees. The infected trees' dull tonal response in the CIR image was attributed to their lower NIR light intensity. These results indicated that digital imagery has potential for detecting foot rot-infected trees in citrus groves based upon NIR spectral differences. The advantage of airborne digital imagery is its real-time survey for quick field assessment.</div>
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<fC01 i1="01" l="ENG"><s0>Phytophthora foot rot, caused by Phytophthora parasitica (Dast), can result in economic losses for the citrus industry in the Lower Rio Grande Valley of Texas. Therefore, locating foot rot-infected trees in citrus groves is important to citrus growers. Symptoms of the infection include leaf yellowing, canopy defoliation, twig dieback, and short growth flushes. This study evaluated the use of the latest remote sensing technology, that of airborne digital imagery, for the detection of citrus trees exhibiting mild symptoms of foot rot infection. Airborne color-infrared (CIR) digital imagery of two citrus orchards having problems with foot rot infection was acquired. In addition to the aerial digital imagery, ground spectroradiometric measurements were conducted to determine the visible and near-infrared (NIR) spectral reflectance differences between healthy and infected trees. These measurements were also used to help interpret the color tonal renditions between the trees. The CIR digital imagery distinguished infected from noninfected trees. The noninfected trees had a bright red-magenta color rendition, while the infected trees had a dull grayish red tonal response. The NIR spectroradiometric and digital readings were significantly lower for infected trees than for healthy ones (P ≤ 0.05), whereas the visible reflectance and digital data revealed no significant differences between the trees. The infected trees' dull tonal response in the CIR image was attributed to their lower NIR light intensity. These results indicated that digital imagery has potential for detecting foot rot-infected trees in citrus groves based upon NIR spectral differences. The advantage of airborne digital imagery is its real-time survey for quick field assessment.</s0>
</fC01>
<fC02 i1="01" i2="X"><s0>002A34G04</s0>
</fC02>
<fC03 i1="01" i2="X" l="FRE"><s0>Caractéristique spectrale</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG"><s0>Spectral data</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA"><s0>Característica espectral</s0>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE"><s0>Coefficient réflexion</s0>
<s4>INC</s4>
<s5>02</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE"><s0>Mycose</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG"><s0>Mycosis</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA"><s0>Micosis</s0>
<s5>03</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE"><s0>Spectre IR proche</s0>
<s4>INC</s4>
<s5>04</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE"><s0>Spectre visible</s0>
<s4>INC</s4>
<s5>05</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE"><s0>Symptomatologie</s0>
<s4>INC</s4>
<s5>06</s5>
</fC03>
<fC03 i1="07" i2="X" l="FRE"><s0>Détection</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="X" l="ENG"><s0>Detection</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="X" l="SPA"><s0>Detección</s0>
<s5>07</s5>
</fC03>
<fC03 i1="08" i2="X" l="FRE"><s0>Localisation</s0>
<s4>INC</s4>
<s5>08</s5>
</fC03>
<fC03 i1="09" i2="X" l="FRE"><s0>Spectroradiométrie</s0>
<s4>INC</s4>
<s5>09</s5>
</fC03>
<fC03 i1="10" i2="X" l="FRE"><s0>Imagerie</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="X" l="ENG"><s0>Imagery</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="X" l="SPA"><s0>Imaginería</s0>
<s5>10</s5>
</fC03>
<fC03 i1="11" i2="X" l="FRE"><s0>Image numérique</s0>
<s5>11</s5>
</fC03>
<fC03 i1="11" i2="X" l="ENG"><s0>Digital image</s0>
<s5>11</s5>
</fC03>
<fC03 i1="11" i2="X" l="SPA"><s0>Imagen numérica</s0>
<s5>11</s5>
</fC03>
<fC03 i1="12" i2="X" l="FRE"><s0>Photographie aérienne</s0>
<s5>12</s5>
</fC03>
<fC03 i1="12" i2="X" l="ENG"><s0>Aerial photography</s0>
<s5>12</s5>
</fC03>
<fC03 i1="12" i2="X" l="SPA"><s0>Fotografía aérea</s0>
<s5>12</s5>
</fC03>
<fC03 i1="13" i2="X" l="FRE"><s0>Photographie fausse couleur</s0>
<s4>INC</s4>
<s5>13</s5>
</fC03>
<fC03 i1="14" i2="X" l="FRE"><s0>Photographie IR</s0>
<s4>INC</s4>
<s5>14</s5>
</fC03>
<fC03 i1="15" i2="X" l="FRE"><s0>Temps réel</s0>
<s4>INC</s4>
<s5>15</s5>
</fC03>
<fC03 i1="16" i2="X" l="FRE"><s0>Canopée</s0>
<s4>INC</s4>
<s5>16</s5>
</fC03>
<fC03 i1="17" i2="X" l="FRE"><s0>Houppier</s0>
<s4>INC</s4>
<s5>17</s5>
</fC03>
<fC03 i1="18" i2="X" l="FRE"><s0>Verger</s0>
<s4>INC</s4>
<s5>18</s5>
</fC03>
<fC03 i1="19" i2="X" l="FRE"><s0>Agrume</s0>
<s5>19</s5>
</fC03>
<fC03 i1="19" i2="X" l="ENG"><s0>Citrus fruit</s0>
<s5>19</s5>
</fC03>
<fC03 i1="19" i2="X" l="SPA"><s0>Agrios</s0>
<s5>19</s5>
</fC03>
<fC03 i1="20" i2="X" l="FRE"><s0>Arbre fruitier</s0>
<s4>INC</s4>
<s5>20</s5>
</fC03>
<fC03 i1="21" i2="X" l="FRE"><s0>Phytophthora nicotianae</s0>
<s2>NS</s2>
<s5>21</s5>
</fC03>
<fC03 i1="21" i2="X" l="ENG"><s0>Phytophthora nicotianae</s0>
<s2>NS</s2>
<s5>21</s5>
</fC03>
<fC03 i1="21" i2="X" l="SPA"><s0>Phytophthora nicotianae</s0>
<s2>NS</s2>
<s5>21</s5>
</fC03>
<fC03 i1="22" i2="X" l="FRE"><s0>Citrus paradisi</s0>
<s4>INC</s4>
<s5>22</s5>
</fC03>
<fC03 i1="23" i2="X" l="FRE"><s0>Citrus sinensis</s0>
<s4>INC</s4>
<s5>23</s5>
</fC03>
<fC03 i1="24" i2="X" l="FRE"><s0>Texas</s0>
<s2>NG</s2>
<s5>26</s5>
</fC03>
<fC03 i1="24" i2="X" l="ENG"><s0>Texas</s0>
<s2>NG</s2>
<s5>26</s5>
</fC03>
<fC03 i1="24" i2="X" l="SPA"><s0>Texas</s0>
<s2>NG</s2>
<s5>26</s5>
</fC03>
<fC03 i1="25" i2="X" l="FRE"><s0>Etude sur terrain</s0>
<s4>INC</s4>
<s5>27</s5>
</fC03>
<fC03 i1="26" i2="X" l="FRE"><s0>Etude méthode</s0>
<s4>INC</s4>
<s5>28</s5>
</fC03>
<fC03 i1="27" i2="X" l="FRE"><s0>Analyse image</s0>
<s5>29</s5>
</fC03>
<fC03 i1="27" i2="X" l="ENG"><s0>Image analysis</s0>
<s5>29</s5>
</fC03>
<fC03 i1="27" i2="X" l="SPA"><s0>Análisis imagen</s0>
<s5>29</s5>
</fC03>
<fC03 i1="28" i2="X" l="FRE"><s0>Photointerprétation</s0>
<s5>30</s5>
</fC03>
<fC03 i1="28" i2="X" l="ENG"><s0>Photointerpretation</s0>
<s5>30</s5>
</fC03>
<fC03 i1="28" i2="X" l="SPA"><s0>Fotointerpretación</s0>
<s5>30</s5>
</fC03>
<fC07 i1="01" i2="X" l="FRE"><s0>Infection</s0>
</fC07>
<fC07 i1="01" i2="X" l="ENG"><s0>Infection</s0>
</fC07>
<fC07 i1="01" i2="X" l="SPA"><s0>Infección</s0>
</fC07>
<fC07 i1="02" i2="X" l="FRE"><s0>Phycomycetes</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="02" i2="X" l="ENG"><s0>Phycomycetes</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="02" i2="X" l="SPA"><s0>Phycomycetes</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="03" i2="X" l="FRE"><s0>Fungi</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="03" i2="X" l="ENG"><s0>Fungi</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="03" i2="X" l="SPA"><s0>Fungi</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="04" i2="X" l="FRE"><s0>Thallophyta</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="04" i2="X" l="ENG"><s0>Thallophyta</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="04" i2="X" l="SPA"><s0>Thallophyta</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="05" i2="X" l="FRE"><s0>Etats Unis</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="05" i2="X" l="ENG"><s0>United States</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="05" i2="X" l="SPA"><s0>Estados Unidos</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="06" i2="X" l="FRE"><s0>Amérique du Nord</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="06" i2="X" l="ENG"><s0>North America</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="06" i2="X" l="SPA"><s0>America del norte</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="07" i2="X" l="FRE"><s0>Amérique</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="07" i2="X" l="ENG"><s0>America</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="07" i2="X" l="SPA"><s0>America</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="08" i2="X" l="FRE"><s0>Arboriculture</s0>
<s4>INC</s4>
<s5>33</s5>
</fC07>
<fC07 i1="09" i2="X" l="FRE"><s0>Horticulture</s0>
<s4>INC</s4>
<s5>34</s5>
</fC07>
<fC07 i1="10" i2="X" l="FRE"><s0>Lutte phytosanitaire</s0>
<s4>INC</s4>
<s5>35</s5>
</fC07>
<fC07 i1="11" i2="X" l="FRE"><s0>Méthode optique</s0>
<s4>INC</s4>
<s5>36</s5>
</fC07>
<fC07 i1="12" i2="X" l="FRE"><s0>Méthode physique</s0>
<s4>INC</s4>
<s5>37</s5>
</fC07>
<fC07 i1="13" i2="X" l="FRE"><s0>Phytopathologie</s0>
<s4>INC</s4>
<s5>38</s5>
</fC07>
<fN21><s1>169</s1>
</fN21>
</pA>
</standard>
</inist>
</record>

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Field spectra and airborne digital imagery for detecting phytophthora foot rot infections in citrus trees

Field spectra and airborne digital imagery for detecting phytophthora foot rot infections in citrus trees

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