A band selection method for consumer-grade camera modification for UAV-based rapeseed growth monitoring

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cg.authorship.typesCGIAR single centreen
cg.authorship.typesCGIAR and developing country instituteen
cg.contributor.affiliationHuazhong Agricultural Universityen
cg.contributor.affiliationKey Laboratory of Farmland Conservation in the Middle and Lower Reaches of the Ministry of Agricultureen
cg.contributor.affiliationCentral China Normal Universityen
cg.contributor.affiliationInternational Food Policy Research Instituteen
cg.contributor.affiliationYusense Information Technology and Equipment (Oingdao) Inc.en
cg.contributor.affiliationKunming Engineering Corporation Limiteden
cg.contributor.donorMajor Science and Technology Projects in Biological Breedingen
cg.contributor.donorNational Natural Science Foundation of Chinaen
cg.contributor.donorMajor Science and Technology Project of Yunnan Provinceen
cg.contributor.donorKey core technology research project of agriculture in Hubei Provinceen
cg.contributor.donorQingdao Industrial Experts Program of Chinaen
cg.contributor.donorTaishan Industrial Experts Program of Chinaen
cg.contributor.initiativeClimate Resilience
cg.contributor.initiativeForesight
cg.contributor.programAcceleratorPolicy Innovations
cg.creator.identifierLiangzhi You: 0000-0001-7930-8814en
cg.howPublishedFormally Publisheden
cg.identifier.doihttps://doi.org/10.1016/j.atech.2025.100830en
cg.identifier.projectIFPRI - Foresight and Policy Modeling Uniten
cg.identifier.publicationRankBen
cg.isijournalISI Journalen
cg.issn2772-3755en
cg.journalSmart Agricultural Technologyen
cg.reviewStatusPeer Reviewen
cg.subject.actionAreaSystems Transformation
cg.subject.impactAreaClimate adaptation and mitigation
cg.volume10en
dc.contributor.authorWang, Chufengen
dc.contributor.authorZhang, Jianen
dc.contributor.authorWu, Haoen
dc.contributor.authorLiu, Binen
dc.contributor.authorWang, Botaoen
dc.contributor.authorYou, Yunhaoen
dc.contributor.authorTan, Zuojunen
dc.contributor.authorXie, Jingen
dc.contributor.authorYou, Liangzhien
dc.contributor.authorZhang, Junqiangen
dc.contributor.authorWen, Pingen
dc.date.accessioned2025-03-12T21:14:25Zen
dc.date.available2025-03-12T21:14:25Zen
dc.identifier.urihttps://hdl.handle.net/10568/173594
dc.titleA band selection method for consumer-grade camera modification for UAV-based rapeseed growth monitoringen
dcterms.abstractNear-infrared (NIR) modification of low-cost cameras is considered an important method to acquire high-resolution NIR images on an unmanned aerial vehicle (UAV) platform. However, few studies have examined filter selection methods to modify consumer-grade cameras for UAV-based agricultural crop monitoring. This study addresses a key challenge: how to balance imaging quality with spectral sensitivity when selecting filters for the modification of consumer-grade cameras. To this end, the normalized difference spectral index (NDSI) and the ratio spectral index (RSI) formulations were used to calculate the spectral indices (SIs) from all possible combinations of any two center wavelengths in UAV hyperspectral data. The contour maps of the coefficient of determination (R2) between the SIs and ground-measured rapeseed LAI were then computed to automatically generate the broadband combinations with optimized center wavelengths and effective bandwidths for selecting filters on camera modification. Results showed that a consumer-grade camera (Nikon D7000) modified by the selected filters had performance comparable with a multispectral camera (RedEdge Micasense 3), but slightly worse than a research-grade hyperspectral camera (Nano-Hyperspec®) in terms of SIs for LAI estimation. In addition, the high-resolution images from the modified camera were processed to obtain accurate crop plant height information. The SIs coupled with plant height from the modified camera (rRMSE = 18.1 % for field 1 and 14.3 % for field 2) was found to perform similar to, and in some cases even better than, those from the research-grade multispectral (rRMSE = 17.9 % and 16.7 % for the respective fields) and hyperspectral (rRMSE = 18.8 % for field 1) cameras for UAV-based LAI estimation. The findings from this study indicate that the proposed camera modification method is feasible and adaptable to agricultural crop monitoring. Thus, appropriately modified consumer-grade cameras can be a cost-effective replacement for research-grade sensors to rapidly and accurately assess crop growth status.en
dcterms.accessRightsOpen Access
dcterms.audienceAcademicsen
dcterms.available2025-02-14en
dcterms.bibliographicCitationWang, Chufeng; Zhang, Jian; Wu, Hao; Liu, Bin; Wang, Botao; You, Yunhao ; et al. 2025. A band selection method for consumer-grade camera modification for UAV-based rapeseed growth monitoring. Smart Agricultural Technology 10(March 2025): 100830. https://doi.org/10.1016/j.atech.2025.100830en
dcterms.issued2025-03en
dcterms.languageen
dcterms.licenseCC-BY-NC-ND-4.0
dcterms.publisherElsevieren
dcterms.subjectcamerasen
dcterms.subjectrapeseeden
dcterms.subjectsensorsen
dcterms.subjectcrop monitoringen
dcterms.subjectaerial photographyen
dcterms.typeJournal Article

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