dc.creatorHolzman, Mauro
dc.creatorRivas, Raúl
dc.creatorBayala, Martín
dc.creatorOcampo, Dora
dc.creatorCarmona, Facundo
dc.date2014-09
dc.date2014-09
dc.date2014-10-28T15:21:07Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/42000
dc.identifierhttp://43jaiio.sadio.org.ar/proceedings/CAI/9.pdf
dc.identifierissn:1851-2526
dc.descriptionThe improvement of methods to evaluate the real impact of soil moisture availability on crop systems is crucial because the importance for world economy and food production. The relationship between the remote sensed stress index TVDI, root-zone soil moisture and soybean yield was analyzed in a sandy region of Argentine Pampas. High correlation (R2 =0.68) between TVDI and soybean yield was observed. The obtained adjustment allows us to evaluate the spatial variability of yield during a humid and dry period 2-3 months before harvest. Since the method requires remote sensed data, it could be applied over areas with poor data coverage.
dc.descriptionSociedad Argentina de Informática e Investigación Operativa (SADIO)
dc.formatapplication/pdf
dc.format96-101
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by/3.0/
dc.rightsCreative Commons Attribution 3.0 Unported (CC BY 3.0)
dc.subjectCiencias Informáticas
dc.subjectCiencias Agrarias
dc.subjectstress index
dc.subjectsoil moisture
dc.subjectremote sensing
dc.subjectCOMPUTERS IN OTHER SYSTEMS
dc.titleSpatial crop yield estimation based on remotely sensed stress index
dc.typeObjeto de conferencia
dc.typeObjeto de conferencia


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