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Monitoring crop phenology using a smartphone based near-surface remote sensing approach

hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
hal.structure.identifierDepartment of Applied Ecology and Environmental Biology
dc.contributor.authorHUFKENS, Koen
hal.structure.identifierBoston University [Boston] [BU]
dc.contributor.authorMELAAS, Eli K.
hal.structure.identifierThe George Washington University [GW]
dc.contributor.authorMANN, Michael L.
hal.structure.identifierUniversity of Manchester [Manchester]
dc.contributor.authorFOSTER, Timothy
hal.structure.identifierInternational Food Policy Research Institute [Washington] [IFPRI]
dc.contributor.authorCEBALLOS, Francisco
hal.structure.identifierInternational Food Policy Research Institute [Washington] [IFPRI]
dc.contributor.authorROBLES, Miguel
hal.structure.identifierInternational Food Policy Research Institute [Washington] [IFPRI]
dc.contributor.authorKRAMER, Berber
dc.date.accessioned2024-04-08T12:04:06Z
dc.date.available2024-04-08T12:04:06Z
dc.date.issued2019
dc.identifier.issn0168-1923
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196292
dc.description.abstractEnSmallholder farmers play a critical role in supporting food security in developing countries. Monitoring crop phenology and disturbances to crop growth is critical in strengthening farmers' ability to manage production risks. This study assesses the feasibility of using crowdsourced near-surface remote sensing imagery to monitor winter wheat phenology and identify damage events in northwest India. In particular, we demonstrate how streams of pictures of individual smallholder fields, taken using inexpensive smartphones, can be used to quantify important phenological stages in agricultural crops, specifically the wheat heading phase and how it can be used to detect lodging events, a major cause of crop damage globally. Near-surface remote sensing offers granular visual field data, providing detailed information on the timing of key developmental phases of winter wheat and crop growth disturbances that are not registered by common satellite remote sensing vegetation indices or national crop cut surveys. This illustrates the potential of near-surface remote sensing as a scalable platform for collecting high-resolution plot-specific data that can be used in supporting crop modeling, extension and insurance schemes to increase resilience to production risk and enhance food security in smallholder agricultural systems.
dc.language.isoen
dc.publisherElsevier Masson
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enrowdsourcing
dc.subject.enremote sensing
dc.subject.enwinter wheat
dc.subject.eninsurance
dc.subject.enindiarowdsourcing
dc.subject.enIndia
dc.title.enMonitoring crop phenology using a smartphone based near-surface remote sensing approach
dc.typeArticle de revue
dc.identifier.doi10.1016/j.agrformet.2018.11.002
dc.subject.halSciences du Vivant [q-bio]
dc.subject.halSciences de l'environnement
bordeaux.journalAgricultural and Forest Meteorology
bordeaux.page327-337
bordeaux.volume265
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-02628049
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02628049v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Agricultural%20and%20Forest%20Meteorology&rft.date=2019&rft.volume=265&rft.spage=327-337&rft.epage=327-337&rft.eissn=0168-1923&rft.issn=0168-1923&rft.au=HUFKENS,%20Koen&MELAAS,%20Eli%20K.&MANN,%20Michael%20L.&FOSTER,%20Timothy&CEBALLOS,%20Francisco&rft.genre=article


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