Vegetation sensors as a tool for plant population identification and corn grain yield estimation

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dc.creatorAndré Luis Vian
dc.creatorChristian Bredemeier
dc.creatorMaicon Andreo Drum
dc.creatorJoão Leonardo Fernandes Pires
dc.creatorElizandro Fochesatto
dc.date2021
dc.date.accessioned2026-07-07T04:32:43Z
dc.descriptionThe estimated corn grain yield is dependent on plant density and should be monitored from the beginning of its development, especially between the phenological stages V3 and V10, since these stages are more responsive to management strategies. This study aimed to evaluate the efficiency of two methods normalized difference vegetation index (NDVI) and plant occupation index (POI) to estimate the density of corn plants, in order to identify the plant population in different phenological stages and corn grain yield. Two field experiments were conducted in two crop seasons and treatments consisted of four plant densities (4, 6, 8 and 10 plants m-2). The NDVI measurements of the vegetative canopy were performed in the growth stages V4, V5, V6, V7, V8 and V9 (2014) and V3, V5, V6, V8, V9, V10 and V13 (2015/2016). For the POI, the measurements were performed in the stages V5, V6, V8 and V9, in both crop seasons. The different plant densities were efficient in generating variability in the NDVI and POI values throughout the corn crop development cycle, and both tools were efficient in identifying density variations. It was observed that these tools should be used between the V4 and V9 growth stages.
dc.formatapplication/pdf
dc.identifier1517-6398
dc.identifierhttps://www.redalyc.org/articulo.oa?id=253068585028
dc.identifierhttps://www.redalyc.org/journal/2530/253068585028/
dc.identifierhttps://www.redalyc.org/journal/2530/253068585028/html/
dc.identifierhttps://www.redalyc.org/journal/2530/253068585028/253068585028.epub
dc.identifierhttps://www.redalyc.org/journal/2530/253068585028/movil
dc.identifier10.1590/1983-40632021v5166926
dc.identifier.urihttp://hdl.handle.net/123456789/464782
dc.languageen
dc.publisherUniversidade Federal de Goiás
dc.relationhttp://www.redalyc.org/revista.oa?id=2530
dc.rightsPesquisa Agropecuária Tropical
dc.sourcePesquisa Agropecuária Tropical (Brasil) Vol.51
dc.subjectAgrociencias
dc.titleVegetation sensors as a tool for plant population identification and corn grain yield estimation
dc.typeartículo científico

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Pesquisa Agropecuária Tropical - Universidade Federal de Goiás