Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
Articles by Cassiele Uliana Facco
Total Records ( 2 ) for Cassiele Uliana Facco
  Carlos Antonio da Silva Junior , Marcos Rafael Nanni , Everson Cezar , Aline de Carvalho Gasparotto , Anderson Antonio da Silva , Guilherme Fernando Capristo Silva , Cassiele Uliana Facco and Josė Alexandre M. Demattė
  The monitoring of the Earth's surface and the dynamics of its vegetation using remote sensing techniques stands out in agricultural activities. The objective of this study was to estimate and map areas cultivated with soybean [Glycine max (L.) Merr.] by means of mono and time-series MODIS images in Paraná state through principal component techniques. For this mapping were used vegetation index (EVI and CEI) with the help of as time-series from images of MODIS sensor also was performed by supervised classification algorithms and partially unsupervised with use of principal component analysis. For statistical evaluation parameters were used Kappa and overall accuracy and their respective Z and t-tests. When analyzing the data obtained by the methods used in the estimates of soybean areas it appears that the ratings by the CEI index was highlighted with higher Kappa parameters (κ) and Overall Accuracy (OA), unlike the classifier K-means. For the principal component used five images including vegetation indices, presented to the Kappa 0.48 parameter. The mapping, discrimination and quantification of soybean fields in the state of Paraná was possible with the use of classifiers and MODIS images, which the systematization presented results of Kappa parameters and overall accuracy satisfactory.
  Guilherme Fernando Capristo Silva , Antonio Carlos Andrade Goncalves , Carlos Antonio da Silva Junior , Marcos Rafael Nanni , Cassiele Uliana Facco , Everson Cezar and Anderson Antonio da Silva
  In order to study the response of Normalized Difference Vegetation Index (NDVI) to water stress in different phenological stages in culture bean. The plots consisted up of plastic pots planted with beans IPR Tangara, provided agricultural greenhouse. The humidity was controlled by readings of Time Domain Reflectometry (TDR) probes and beaker assistance irrigation was performed. Water stress was applied in one phenological stage during the development cycle of the culture and the V4, R6, R7, R8 and R9 with the next supply to the wilting point and the other stadiums kept near field capacity. The images were obtained by digital camera with filters in the region of visible light and near infrared, they were used to calculate the NDVI and processed by IDRISI Selva (geographic information system and image processing software). The NDVI vegetation index identified the presence and absence of water stress in all phenological stages before the bean crop development cycle, possessing strong correlation except for the R8. However, you will need more studies using digital cameras in order to identify the water condition of plants.
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility