Apple fruit diameter and length estimation by using the thermal and sunshine hours approach and its application to the digital orchard management information system.
Identifieur interne : 000097 ( PubMed/Corpus ); précédent : 000096; suivant : 000098Apple fruit diameter and length estimation by using the thermal and sunshine hours approach and its application to the digital orchard management information system.
Auteurs : Ming Li ; Meixiang Chen ; Yong Zhang ; Chunxia Fu ; Bin Xing ; Wenyong Li ; Jianping Qian ; Sha Li ; Hui Wang ; Xiaodan Fan ; Yujing Yan ; Yan'An Wang ; Xinting YangSource :
- PloS one [ 1932-6203 ] ; 2015.
English descriptors
- KwdEn :
- MESH :
- growth & development : Fruit, Malus.
- radiation effects : Fruit, Malus.
- Cell Phones, Internet, Management Information Systems, Models, Statistical, Sunlight, Temperature, Time Factors.
Abstract
In apple cultivation, simulation models may be used to monitor fruit size during the growth and development process to predict production levels and to optimize fruit quality. Here, Fuji apples cultivated in spindle-type systems were used as the model crop. Apple size was measured during the growing period at an interval of about 20 days after full bloom, with three weather stations being used to collect orchard temperature and solar radiation data at different sites. Furthermore, a 2-year dataset (2011 and 2012) of apple fruit size measurements were integrated according to the weather station deployment sites, in addition to the top two most important environment factors, thermal and sunshine hours, into the model. The apple fruit diameter and length were simulated using physiological development time (PDT), an indicator that combines important environment factors, such as temperature and photoperiod, as the driving variable. Compared to the model of calendar-based development time (CDT), an indicator counting the days that elapse after full bloom, we confirmed that the PDT model improved the estimation accuracy to within 0.2 cm for fruit diameter and 0.1 cm for fruit length in independent years using a similar data collection method in 2013. The PDT model was implemented to realize a web-based management information system for a digital orchard, and the digital system had been applied in Shandong Province, China since 2013. This system may be used to compute the dynamic curve of apple fruit size based on data obtained from a nearby weather station. This system may provide an important decision support for farmers using the website and short message service to optimize crop production and, hence, economic benefit.
DOI: 10.1371/journal.pone.0120124
PubMed: 25831065
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last="Zhang">Yong Zhang</name><affiliation><nlm:affiliation>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China; State Key Laboratory of Crop Biology/College of Life Science, Shandong Agricultural University, Tai'an, Shandong, PR China.</nlm:affiliation></affiliation></author><author><name sortKey="Fu, Chunxia" sort="Fu, Chunxia" uniqKey="Fu C" first="Chunxia" last="Fu">Chunxia Fu</name><affiliation><nlm:affiliation>State Key Laboratory of Crop Biology/College of Life Science, Shandong Agricultural University, Tai'an, Shandong, PR China.</nlm:affiliation></affiliation></author><author><name sortKey="Xing, Bin" sort="Xing, Bin" uniqKey="Xing B" first="Bin" last="Xing">Bin Xing</name><affiliation><nlm:affiliation>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China.</nlm:affiliation></affiliation></author><author><name sortKey="Li, Wenyong" sort="Li, Wenyong" uniqKey="Li W" first="Wenyong" last="Li">Wenyong Li</name><affiliation><nlm:affiliation>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China.</nlm:affiliation></affiliation></author><author><name sortKey="Qian, Jianping" sort="Qian, Jianping" uniqKey="Qian J" first="Jianping" last="Qian">Jianping Qian</name><affiliation><nlm:affiliation>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China.</nlm:affiliation></affiliation></author><author><name sortKey="Li, Sha" sort="Li, Sha" uniqKey="Li S" first="Sha" last="Li">Sha Li</name><affiliation><nlm:affiliation>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Hui" sort="Wang, Hui" uniqKey="Wang H" first="Hui" last="Wang">Hui Wang</name><affiliation><nlm:affiliation>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China.</nlm:affiliation></affiliation></author><author><name sortKey="Fan, Xiaodan" sort="Fan, Xiaodan" uniqKey="Fan X" first="Xiaodan" last="Fan">Xiaodan Fan</name><affiliation><nlm:affiliation>State Key Laboratory of Crop Biology/College of Life Science, Shandong Agricultural University, Tai'an, Shandong, PR China.</nlm:affiliation></affiliation></author><author><name sortKey="Yan, Yujing" sort="Yan, Yujing" uniqKey="Yan Y" first="Yujing" last="Yan">Yujing Yan</name><affiliation><nlm:affiliation>State Key Laboratory of Crop Biology/College of Life Science, Shandong Agricultural University, Tai'an, Shandong, PR China.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Yan An" sort="Wang, Yan An" uniqKey="Wang Y" first="Yan'An" last="Wang">Yan'An Wang</name><affiliation><nlm:affiliation>State Key Laboratory of Crop Biology/College of Life Science, Shandong Agricultural University, Tai'an, Shandong, PR China.</nlm:affiliation></affiliation></author><author><name sortKey="Yang, Xinting" sort="Yang, Xinting" uniqKey="Yang X" first="Xinting" last="Yang">Xinting Yang</name><affiliation><nlm:affiliation>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2015">2015</date><idno type="RBID">pubmed:25831065</idno><idno type="pmid">25831065</idno><idno type="doi">10.1371/journal.pone.0120124</idno><idno type="wicri:Area/PubMed/Corpus">000097</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000097</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Apple fruit diameter and length estimation by using the thermal and sunshine hours approach and its application to the digital orchard management information system.</title><author><name sortKey="Li, Ming" sort="Li, Ming" uniqKey="Li M" first="Ming" last="Li">Ming Li</name><affiliation><nlm:affiliation>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China.</nlm:affiliation></affiliation></author><author><name sortKey="Chen, Meixiang" sort="Chen, Meixiang" uniqKey="Chen M" first="Meixiang" last="Chen">Meixiang Chen</name><affiliation><nlm:affiliation>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China.</nlm:affiliation></affiliation></author><author><name sortKey="Zhang, Yong" sort="Zhang, Yong" uniqKey="Zhang Y" first="Yong" last="Zhang">Yong Zhang</name><affiliation><nlm:affiliation>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China; State Key Laboratory of Crop Biology/College of Life Science, Shandong Agricultural University, Tai'an, Shandong, PR China.</nlm:affiliation></affiliation></author><author><name sortKey="Fu, Chunxia" sort="Fu, Chunxia" uniqKey="Fu C" first="Chunxia" last="Fu">Chunxia Fu</name><affiliation><nlm:affiliation>State Key Laboratory of Crop Biology/College of Life Science, Shandong Agricultural University, Tai'an, Shandong, PR China.</nlm:affiliation></affiliation></author><author><name sortKey="Xing, Bin" sort="Xing, Bin" uniqKey="Xing B" first="Bin" last="Xing">Bin Xing</name><affiliation><nlm:affiliation>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China.</nlm:affiliation></affiliation></author><author><name sortKey="Li, Wenyong" sort="Li, Wenyong" uniqKey="Li W" first="Wenyong" last="Li">Wenyong Li</name><affiliation><nlm:affiliation>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China.</nlm:affiliation></affiliation></author><author><name sortKey="Qian, Jianping" sort="Qian, Jianping" uniqKey="Qian J" first="Jianping" last="Qian">Jianping Qian</name><affiliation><nlm:affiliation>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China.</nlm:affiliation></affiliation></author><author><name sortKey="Li, Sha" sort="Li, Sha" uniqKey="Li S" first="Sha" last="Li">Sha Li</name><affiliation><nlm:affiliation>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Hui" sort="Wang, Hui" uniqKey="Wang H" first="Hui" last="Wang">Hui Wang</name><affiliation><nlm:affiliation>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China.</nlm:affiliation></affiliation></author><author><name sortKey="Fan, Xiaodan" sort="Fan, Xiaodan" uniqKey="Fan X" first="Xiaodan" last="Fan">Xiaodan Fan</name><affiliation><nlm:affiliation>State Key Laboratory of Crop Biology/College of Life Science, Shandong Agricultural University, Tai'an, Shandong, PR China.</nlm:affiliation></affiliation></author><author><name sortKey="Yan, Yujing" sort="Yan, Yujing" uniqKey="Yan Y" first="Yujing" last="Yan">Yujing Yan</name><affiliation><nlm:affiliation>State Key Laboratory of Crop Biology/College of Life Science, Shandong Agricultural University, Tai'an, Shandong, PR China.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, Yan An" sort="Wang, Yan An" uniqKey="Wang Y" first="Yan'An" last="Wang">Yan'An Wang</name><affiliation><nlm:affiliation>State Key Laboratory of Crop Biology/College of Life Science, Shandong Agricultural University, Tai'an, Shandong, PR China.</nlm:affiliation></affiliation></author><author><name sortKey="Yang, Xinting" sort="Yang, Xinting" uniqKey="Yang X" first="Xinting" last="Yang">Xinting Yang</name><affiliation><nlm:affiliation>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China.</nlm:affiliation></affiliation></author></analytic><series><title level="j">PloS one</title><idno type="eISSN">1932-6203</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Cell Phones</term><term>Fruit (growth & development)</term><term>Fruit (radiation effects)</term><term>Internet</term><term>Malus (growth & development)</term><term>Malus (radiation effects)</term><term>Management Information Systems</term><term>Models, Statistical</term><term>Sunlight</term><term>Temperature</term><term>Time Factors</term></keywords><keywords scheme="MESH" qualifier="growth & development" xml:lang="en"><term>Fruit</term><term>Malus</term></keywords><keywords scheme="MESH" qualifier="radiation effects" xml:lang="en"><term>Fruit</term><term>Malus</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Cell Phones</term><term>Internet</term><term>Management Information Systems</term><term>Models, Statistical</term><term>Sunlight</term><term>Temperature</term><term>Time Factors</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In apple cultivation, simulation models may be used to monitor fruit size during the growth and development process to predict production levels and to optimize fruit quality. Here, Fuji apples cultivated in spindle-type systems were used as the model crop. Apple size was measured during the growing period at an interval of about 20 days after full bloom, with three weather stations being used to collect orchard temperature and solar radiation data at different sites. Furthermore, a 2-year dataset (2011 and 2012) of apple fruit size measurements were integrated according to the weather station deployment sites, in addition to the top two most important environment factors, thermal and sunshine hours, into the model. The apple fruit diameter and length were simulated using physiological development time (PDT), an indicator that combines important environment factors, such as temperature and photoperiod, as the driving variable. Compared to the model of calendar-based development time (CDT), an indicator counting the days that elapse after full bloom, we confirmed that the PDT model improved the estimation accuracy to within 0.2 cm for fruit diameter and 0.1 cm for fruit length in independent years using a similar data collection method in 2013. The PDT model was implemented to realize a web-based management information system for a digital orchard, and the digital system had been applied in Shandong Province, China since 2013. This system may be used to compute the dynamic curve of apple fruit size based on data obtained from a nearby weather station. This system may provide an important decision support for farmers using the website and short message service to optimize crop production and, hence, economic benefit.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">25831065</PMID><DateCreated><Year>2015</Year><Month>04</Month><Day>02</Day></DateCreated><DateCompleted><Year>2015</Year><Month>12</Month><Day>23</Day></DateCompleted><DateRevised><Year>2015</Year><Month>04</Month><Day>10</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Electronic">1932-6203</ISSN><JournalIssue CitedMedium="Internet"><Volume>10</Volume><Issue>4</Issue><PubDate><Year>2015</Year></PubDate></JournalIssue><Title>PloS one</Title><ISOAbbreviation>PLoS ONE</ISOAbbreviation></Journal><ArticleTitle>Apple fruit diameter and length estimation by using the thermal and sunshine hours approach and its application to the digital orchard management information system.</ArticleTitle><Pagination><MedlinePgn>e0120124</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0120124</ELocationID><Abstract><AbstractText>In apple cultivation, simulation models may be used to monitor fruit size during the growth and development process to predict production levels and to optimize fruit quality. Here, Fuji apples cultivated in spindle-type systems were used as the model crop. Apple size was measured during the growing period at an interval of about 20 days after full bloom, with three weather stations being used to collect orchard temperature and solar radiation data at different sites. Furthermore, a 2-year dataset (2011 and 2012) of apple fruit size measurements were integrated according to the weather station deployment sites, in addition to the top two most important environment factors, thermal and sunshine hours, into the model. The apple fruit diameter and length were simulated using physiological development time (PDT), an indicator that combines important environment factors, such as temperature and photoperiod, as the driving variable. Compared to the model of calendar-based development time (CDT), an indicator counting the days that elapse after full bloom, we confirmed that the PDT model improved the estimation accuracy to within 0.2 cm for fruit diameter and 0.1 cm for fruit length in independent years using a similar data collection method in 2013. The PDT model was implemented to realize a web-based management information system for a digital orchard, and the digital system had been applied in Shandong Province, China since 2013. This system may be used to compute the dynamic curve of apple fruit size based on data obtained from a nearby weather station. This system may provide an important decision support for farmers using the website and short message service to optimize crop production and, hence, economic benefit.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Li</LastName><ForeName>Ming</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Chen</LastName><ForeName>Meixiang</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Yong</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China; State Key Laboratory of Crop Biology/College of Life Science, Shandong Agricultural University, Tai'an, Shandong, PR China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Fu</LastName><ForeName>Chunxia</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>State Key Laboratory of Crop Biology/College of Life Science, Shandong Agricultural University, Tai'an, Shandong, PR China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Xing</LastName><ForeName>Bin</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Li</LastName><ForeName>Wenyong</ForeName><Initials>W</Initials><AffiliationInfo><Affiliation>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Qian</LastName><ForeName>Jianping</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Li</LastName><ForeName>Sha</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Hui</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Fan</LastName><ForeName>Xiaodan</ForeName><Initials>X</Initials><AffiliationInfo><Affiliation>State Key Laboratory of Crop Biology/College of Life Science, Shandong Agricultural University, Tai'an, Shandong, PR China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Yan</LastName><ForeName>Yujing</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>State Key Laboratory of Crop Biology/College of Life Science, Shandong Agricultural University, Tai'an, Shandong, PR China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Yan'an</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>State Key Laboratory of Crop Biology/College of Life Science, Shandong Agricultural University, Tai'an, Shandong, PR China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Yang</LastName><ForeName>Xinting</ForeName><Initials>X</Initials><AffiliationInfo><Affiliation>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2015</Year><Month>04</Month><Day>01</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>PLoS One</MedlineTA><NlmUniqueID>101285081</NlmUniqueID><ISSNLinking>1932-6203</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>J Exp Bot. 2010 May;61(8):2101-15</RefSource><PMID Version="1">19995824</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>PLoS One. 2014;9(3):e92532</RefSource><PMID Version="1">24663687</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Pest Manag Sci. 2010 Jun;66(6):587-95</RefSource><PMID Version="1">20127866</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName UI="D040421" MajorTopicYN="N">Cell Phones</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005638" MajorTopicYN="N">Fruit</DescriptorName><QualifierName UI="Q000254" MajorTopicYN="Y">growth & development</QualifierName><QualifierName UI="Q000528" MajorTopicYN="Y">radiation effects</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D020407" MajorTopicYN="N">Internet</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D027845" MajorTopicYN="N">Malus</DescriptorName><QualifierName UI="Q000254" MajorTopicYN="Y">growth & development</QualifierName><QualifierName UI="Q000528" MajorTopicYN="Y">radiation effects</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008331" MajorTopicYN="Y">Management Information Systems</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015233" MajorTopicYN="N">Models, Statistical</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013472" MajorTopicYN="Y">Sunlight</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013696" MajorTopicYN="Y">Temperature</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013997" MajorTopicYN="N">Time Factors</DescriptorName></MeshHeading></MeshHeadingList><OtherID Source="NLM">PMC4382048</OtherID></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2014</Year><Month>06</Month><Day>24</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2015</Year><Month>02</Month><Day>04</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2015</Year><Month>4</Month><Day>2</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2015</Year><Month>4</Month><Day>2</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2015</Year><Month>12</Month><Day>24</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">25831065</ArticleId><ArticleId IdType="doi">10.1371/journal.pone.0120124</ArticleId><ArticleId IdType="pii">PONE-D-14-27890</ArticleId><ArticleId IdType="pmc">PMC4382048</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce 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