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Carneiro,Franciele M.; Furlani,Carlos E. A.; Zerbato,Cristiano; Menezes,Patricia C. de; Gírio,Lucas A. da S.. |
ABSTRACT Active optical sensors have been widely used for the spatial and temporal monitoring of peanut culture because they are accurate, non-destructive methods for rapidly obtaining data. The objective of this study was to determine the optimal stage of crop growth for collecting sensor readings based on correlations between quality indicators. In addition, we compared vegetation indices (Normalized Difference Vegetation Index [NDVI], Normalized Difference Red-Edge Index, [NDRE], and Inverse Ratio Vegetation Index, [IRVI]) by monitoring temporal variability in the peanut crop in order to determine which of them obtained the best reading quality throughout the process. The experiment was performed on the 2016/17 crop in the agricultural area of the... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Remote sensing; Arachis hypogaea L.; Control charts; Precision agriculture. |
Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000800033 |
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Menezes,Patricia C. de; Silva,Rouverson P. da; Carneiro,Franciele M.; Girio,Lucas A. da S.; Oliveira,Mailson F. de; Voltarelli,Murilo A.. |
ABSTRACT Assuring the quality of mechanical soybean harvesting is crucial to ensure that investment in other stages of crop production is converted into profit for the farmer. Because the quality of this operation is related to decreased losses, which may be affected by the combine header used and by the harvesting speed, the aim of the present study was to assess the quality of mechanical soybean harvesting in the Southern Cone of Rondônia, using harvesters with different combine headers and travel speeds via statistical process control. The experiment was performed during the 2015/16 harvest in an agricultural area of the municipality of Cabixi, RO, located at the geographical coordinates 13° 27’ S and 60° 41’ W. The study was designed based on the... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Statistical process control; Harvester; Glycine max; Losses; Combine header. |
Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662018001000732 |
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