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 : 000549 ( Ncbi/Curation ); précédent : 000548; suivant : 000550Apple 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 [République populaire de Chine] ; Meixiang Chen [République populaire de Chine] ; Yong Zhang [République populaire de Chine] ; Chunxia Fu [République populaire de Chine] ; Bin Xing [République populaire de Chine] ; Wenyong Li [République populaire de Chine] ; Jianping Qian [République populaire de Chine] ; Sha Li [République populaire de Chine] ; Hui Wang [République populaire de Chine] ; Xiaodan Fan [République populaire de Chine] ; Yujing Yan [République populaire de Chine] ; Yan'An Wang [République populaire de Chine] ; Xinting Yang [République populaire de Chine]Source :
- 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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Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Chen, Meixiang" sort="Chen, Meixiang" uniqKey="Chen M" first="Meixiang" last="Chen">Meixiang Chen</name><affiliation wicri:level="3"><nlm:affiliation>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of 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Shandong</wicri:regionArea><wicri:noRegion>Shandong</wicri:noRegion></affiliation></author><author><name sortKey="Fu, Chunxia" sort="Fu, Chunxia" uniqKey="Fu C" first="Chunxia" last="Fu">Chunxia Fu</name><affiliation wicri:level="1"><nlm:affiliation>State Key Laboratory of Crop Biology/College of Life Science, Shandong Agricultural University, Tai'an, Shandong, PR China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>State Key Laboratory of Crop Biology/College of Life Science, Shandong Agricultural University, Tai'an, Shandong</wicri:regionArea><wicri:noRegion>Shandong</wicri:noRegion></affiliation></author><author><name sortKey="Xing, Bin" sort="Xing, Bin" uniqKey="Xing B" first="Bin" last="Xing">Bin Xing</name><affiliation wicri:level="3"><nlm:affiliation>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing, PR China.</nlm:affiliation><country 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uniqKey="Fan X" first="Xiaodan" last="Fan">Xiaodan Fan</name><affiliation wicri:level="1"><nlm:affiliation>State Key Laboratory of Crop Biology/College of Life Science, Shandong Agricultural University, Tai'an, Shandong, PR China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>State Key Laboratory of Crop Biology/College of Life Science, Shandong Agricultural University, Tai'an, Shandong</wicri:regionArea><wicri:noRegion>Shandong</wicri:noRegion></affiliation></author><author><name sortKey="Yan, Yujing" sort="Yan, Yujing" uniqKey="Yan Y" first="Yujing" last="Yan">Yujing Yan</name><affiliation wicri:level="1"><nlm:affiliation>State Key Laboratory of Crop Biology/College of Life Science, Shandong Agricultural University, Tai'an, Shandong, PR China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>State Key Laboratory of Crop Biology/College of Life Science, Shandong Agricultural University, 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China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Science, Beijing</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></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></record>Pour manipuler ce document sous Unix (Dilib)
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