Combining UAV-Based Vegetation Indices and Image Classification to Estimate Flower Number in Oilseed...
Combining UAV-Based Vegetation Indices and Image Classification to Estimate Flower Number in Oilseed Rape
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Author / Creator
Wan, Liang , Li, Yijian , Cen, Haiyan , Zhu, Jiangpeng , Yin, Wenxin , Wu, Weikang , Zhu, Hongyan , Sun, Dawei , Zhou, Weijun and He, Yong
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Remote estimation of flower number in oilseed rape under different nitrogen (N) treatments is imperative in precision agriculture and field remote sensing, which can help to predict the yield of oilseed rape. In this study, an unmanned aerial vehicle (UAV) equipped with Red Green Blue (RGB) and multispectral cameras was used to acquire a series of...
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Full title
Combining UAV-Based Vegetation Indices and Image Classification to Estimate Flower Number in Oilseed Rape
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_eb3b4e7d89fd468b8294813be623671f
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_eb3b4e7d89fd468b8294813be623671f
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs10091484
