Field spectra and airborne digital imagery for detecting phytophthora foot rot infections in citrus trees
Identifieur interne : 003025 ( Main/Merge ); précédent : 003024; suivant : 003026Field 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.
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 :
English descriptors
- KwdEn :
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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International Boulevard</s1><s2>Weslaco, TX 78596</s2><s3>USA</s3><sZ>2 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">Texas</region></placeName></affiliation></author><author><name sortKey="Escobar, David E" sort="Escobar, David E" uniqKey="Escobar D" first="David E." last="Escobar">David E. Escobar</name><affiliation wicri:level="2"><inist:fA14 i1="01"><s1>U.S. Department of Agriculture, Agricultural Research Service, Integrated Farming and Natural Resources Research Unit, 2413 E. Highway 83</s1><s2>Weslaco, TX 78596</s2><s3>USA</s3><sZ>1 aut.</sZ><sZ>3 aut.</sZ><sZ>4 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">Texas</region></placeName></affiliation></author><author><name sortKey="Everitt, James H" sort="Everitt, James H" uniqKey="Everitt J" first="James H." last="Everitt">James H. Everitt</name><affiliation wicri:level="2"><inist:fA14 i1="01"><s1>U.S. Department of Agriculture, Agricultural Research Service, Integrated Farming and Natural Resources Research Unit, 2413 E. 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Fletcher</name><affiliation wicri:level="2"><inist:fA14 i1="01"><s1>U.S. Department of Agriculture, Agricultural Research Service, Integrated Farming and Natural Resources Research Unit, 2413 E. Highway 83</s1><s2>Weslaco, TX 78596</s2><s3>USA</s3><sZ>1 aut.</sZ><sZ>3 aut.</sZ><sZ>4 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">Texas</region></placeName></affiliation></author><author><name sortKey="Skaria, Mani" sort="Skaria, Mani" uniqKey="Skaria M" first="Mani" last="Skaria">Mani Skaria</name><affiliation wicri:level="2"><inist:fA14 i1="02"><s1>Texas A&M University Kingsville Citrus Center, 312 N. International Boulevard</s1><s2>Weslaco, TX 78596</s2><s3>USA</s3><sZ>2 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">Texas</region></placeName></affiliation></author><author><name sortKey="Escobar, David E" sort="Escobar, David E" uniqKey="Escobar D" first="David E." last="Escobar">David E. Escobar</name><affiliation wicri:level="2"><inist:fA14 i1="01"><s1>U.S. Department of Agriculture, Agricultural Research Service, Integrated Farming and Natural Resources Research Unit, 2413 E. Highway 83</s1><s2>Weslaco, TX 78596</s2><s3>USA</s3><sZ>1 aut.</sZ><sZ>3 aut.</sZ><sZ>4 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">Texas</region></placeName></affiliation></author><author><name sortKey="Everitt, James H" sort="Everitt, James H" uniqKey="Everitt J" first="James H." last="Everitt">James H. Everitt</name><affiliation wicri:level="2"><inist:fA14 i1="01"><s1>U.S. Department of Agriculture, Agricultural Research Service, Integrated Farming and Natural Resources Research Unit, 2413 E. Highway 83</s1><s2>Weslaco, TX 78596</s2><s3>USA</s3><sZ>1 aut.</sZ><sZ>3 aut.</sZ><sZ>4 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">Texas</region></placeName></affiliation></author></analytic><series><title level="j" type="main">HortScience</title><title level="j" type="abbreviated">HortScience</title><idno type="ISSN">0018-5345</idno><imprint><date when="2001">2001</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">HortScience</title><title level="j" type="abbreviated">HortScience</title><idno type="ISSN">0018-5345</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aerial photography</term><term>Citrus fruit</term><term>Detection</term><term>Digital image</term><term>Image analysis</term><term>Imagery</term><term>Mycosis</term><term>Photointerpretation</term><term>Phytophthora nicotianae</term><term>Spectral data</term><term>Texas</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Caractéristique spectrale</term><term>Coefficient réflexion</term><term>Mycose</term><term>Spectre IR proche</term><term>Spectre visible</term><term>Symptomatologie</term><term>Détection</term><term>Localisation</term><term>Spectroradiométrie</term><term>Imagerie</term><term>Image numérique</term><term>Photographie aérienne</term><term>Photographie fausse couleur</term><term>Photographie IR</term><term>Temps réel</term><term>Canopée</term><term>Houppier</term><term>Verger</term><term>Agrume</term><term>Arbre fruitier</term><term>Phytophthora nicotianae</term><term>Citrus paradisi</term><term>Citrus sinensis</term><term>Texas</term><term>Etude sur terrain</term><term>Etude méthode</term><term>Analyse image</term><term>Photointerprétation</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Verger</term><term>Agrume</term></keywords></textClass></profileDesc></teiHeader><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></front></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>Texas</li></region></list><tree><country name="États-Unis"><region name="Texas"><name sortKey="Fletcher, Reginald S" sort="Fletcher, Reginald S" uniqKey="Fletcher R" first="Reginald S." last="Fletcher">Reginald S. Fletcher</name></region><name sortKey="Escobar, David E" sort="Escobar, David E" uniqKey="Escobar D" first="David E." last="Escobar">David E. Escobar</name><name sortKey="Everitt, James H" sort="Everitt, James H" uniqKey="Everitt J" first="James H." last="Everitt">James H. Everitt</name><name sortKey="Skaria, Mani" sort="Skaria, Mani" uniqKey="Skaria M" first="Mani" last="Skaria">Mani Skaria</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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