<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20251121</CreaDate>
<CreaTime>17422900</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">Pest_Survey_RW_2023</itemName>
<imsContentType Sync="TRUE">002</imsContentType>
</itemProps>
<coordRef>
<type Sync="TRUE">Geographic</type>
<geogcsn Sync="TRUE">GCS_WGS_1984</geogcsn>
<csUnits Sync="TRUE">Angular Unit: Degree (0.017453)</csUnits>
<peXml Sync="TRUE">&lt;GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.5.0'&gt;&lt;WKT&gt;GEOGCS[&amp;quot;GCS_WGS_1984&amp;quot;,DATUM[&amp;quot;D_WGS_1984&amp;quot;,SPHEROID[&amp;quot;WGS_1984&amp;quot;,6378137.0,298.257223563]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433],AUTHORITY[&amp;quot;EPSG&amp;quot;,4326]]&lt;/WKT&gt;&lt;XOrigin&gt;-400&lt;/XOrigin&gt;&lt;YOrigin&gt;-400&lt;/YOrigin&gt;&lt;XYScale&gt;999999999.99999988&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;8.983152841195215e-09&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;LeftLongitude&gt;-180&lt;/LeftLongitude&gt;&lt;WKID&gt;4326&lt;/WKID&gt;&lt;LatestWKID&gt;4326&lt;/LatestWKID&gt;&lt;/GeographicCoordinateSystem&gt;</peXml>
</coordRef>
</DataProperties>
<SyncDate>20251121</SyncDate>
<SyncTime>17422900</SyncTime>
<ModDate>20251121</ModDate>
<ModTime>17422900</ModTime>
</Esri>
<dataIdInfo>
<envirDesc Sync="FALSE">Esri ArcGIS 13.5.3.57366</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng">
</languageCode>
<countryCode Sync="TRUE" value="USA">
</countryCode>
</dataLang>
<idCitation>
<resTitle Sync="TRUE">Pest_Survey_RW_2023</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005">
</PresFormCd>
</presForm>
</idCitation>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001">
</SpatRepTypCd>
</spatRpType>
<idAbs/>
<searchKeys>
<keyword>DISA</keyword>
</searchKeys>
<idPurp>Layer for survey for capturing data of plant infections </idPurp>
<idCredit/>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng">
</languageCode>
<countryCode Sync="TRUE" value="USA">
</countryCode>
</mdLang>
<mdChar>
<CharSetCd Sync="TRUE" value="004">
</CharSetCd>
</mdChar>
<distInfo>
<distFormat>
<formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
</distFormat>
</distInfo>
<mdHrLv>
<ScopeCd Sync="TRUE" value="005">
</ScopeCd>
</mdHrLv>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="4326">
</identCode>
<idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
<idVersion Sync="TRUE">6.2(3.0.1)</idVersion>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="Pest_Survey_RW_2023">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="004">
</GeoObjTypCd>
</geoObjTyp>
<geoObjCnt Sync="TRUE">0</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001">
</TopoLevCd>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="Pest_Survey_RW_2023">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="1">
</efeageom>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">0</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<eainfo>
<detailed Name="Pest_Survey_RW_2023">
<enttyp>
<enttypl Sync="TRUE">Pest_Survey_RW_2023</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">0</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">OBJECTID</attrlabl>
<attalias Sync="TRUE">ObjectID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">globalid</attrlabl>
<attalias Sync="TRUE">GlobalID</attalias>
<attrtype Sync="TRUE">GlobalID</attrtype>
<attwidth Sync="TRUE">38</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">CreationDate</attrlabl>
<attalias Sync="TRUE">CreationDate</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">1</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Creator</attrlabl>
<attalias Sync="TRUE">Creator</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">128</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">EditDate</attrlabl>
<attalias Sync="TRUE">EditDate</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">1</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">Editor</attrlabl>
<attalias Sync="TRUE">Editor</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">128</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">time</attrlabl>
<attalias Sync="TRUE">Time</attalias>
<attrtype Sync="TRUE">Date</attrtype>
<attwidth Sync="TRUE">8</attwidth>
<atprecis Sync="TRUE">1</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">additional_site_specific_inform</attrlabl>
<attalias Sync="TRUE">additional site specific information</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">potato_infection_level_potato</attrlabl>
<attalias Sync="TRUE">Potato</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">potato_disease_what_potato</attrlabl>
<attalias Sync="TRUE">Potato</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">rice_infection_level_rice</attrlabl>
<attalias Sync="TRUE">Rice</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">rice_disease_what_rice</attrlabl>
<attalias Sync="TRUE">Rice</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">crop_type_and_infection_sorghum</attrlabl>
<attalias Sync="TRUE">Sorghum</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">crop_type_and_infection_other</attrlabl>
<attalias Sync="TRUE">other</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">field_10_2</attrlabl>
<attalias Sync="TRUE">other</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">no_infection_visible</attrlabl>
<attalias Sync="TRUE">No infection visible</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">field_21</attrlabl>
<attalias Sync="TRUE">No infection visible</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">255</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
</detailed>
</eainfo>
<mdDateSt Sync="TRUE">20251121</mdDateSt>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
</Thumbnail>
</Binary>
</metadata>
