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Rice and bean molecular marker data base. Author(s): NARCISO, M. G.; MELLO, R. The information, when organized and accessible, increases the possibility of generating knowledge, expand its application beyond the purposes for which it was first produced. The use of data bases and... ... Repository: BDPA Publication year: 2011
Building a community-based FAIR metadata schema for Brazilian agriculture and livestock trading data. Author(s): SOARES, F. M.; CORRÊA, F. E.; PIRES, L. F.; SANTOS, L. O. B. da S.; DRUCKER, D. P.; BRAGHETTO, K. L.; MOREIRA, D. de A.; DELBEM, A. C. B.; SILVA, R. F. da; LOPES, C. O. da S.; SARAIVA, A. M. In this paper, we discuss how we are using metadata schemas and controlled vocabularies to improve interoperability between Brazilian agriculture and livestock trading data providers. A new metadata s... ... Repository: BDPA Publication year: 2022
Land use/land cover classification and scale effect analysis for a multi-temporal superpixel-based segmentation using PlanetScope data. Author(s): BUENO, I. T.; ANTUNES, J. F. G.; TORO, A. P. S. G. D.; WERNER, J. P. S.; LAMPARELLI, R. A. C.; COUTINHO, A. C.; FIGUEIREDO, G. K. D. A.; ESQUERDO, J. C. D. M.; MAGALHÃES, P. S. G. This study evaluated the accuracy and suitability of LULC classifications based on the scale effect of a multi-temporal superpixel-based segmentation using PlanetScope (PS) data. Repository: BDPA Publication year: 2023
Estimating black globe temperature based on meteorological data. Author(s): TURCO, S. H. N.; SILVA, T. G. F. da; OLIVEIRA, G. M. de; LEITÃO, M. M. V. B. R.; MOURA, M. S. B. de; PINHEIRO, C.; PADILHA, C. V. da S. Thus, the objetive of this work was to propose models for estimating the Black Globe temperature (BGT) using meteorological data. Repository: BDPA Publication year: 2008
Exploring Object-Based CNN Architecture for Land Cover Classification of HighResolution Remote Sensing Data. Author(s): MARTINS, V.; KALEITA, A. L.; GELDER, B. K.; SILVEIRA, H. L. F. da; ABE, C. A. Repository: BDPA Publication year: 2019
Evaluating expert-based habitat suitability information of terrestrial mammals with GPS-tracking data. Author(s): BROEKMAN, M. J. E.; HILBERS, J. P.; HUIJBREGTS, M. A. J.; MUELLER, T.; ALI, A.; ANDRÉN, H.; ALTMANN, J.; ARONSSON, M.; ATTIAS, N.; BARTLAM-BROOKS, H. L. A.; BEEST, F. M. V.; BELANT, J. L.; BEYER, D. E.; BIDNER, L.; BLAUM, N.; BOONE, R. B.; BOYCE, M. S.; BROWN, M. B.; CAGNACCI, F.; CERNE, R.; CHAMAILLÉ-JAMMES, S.; DEJID, N.; DEKKER, J.; DESBIEZ, A. L. J.; DÍAZ-MUÑOZ, S. L.; FENNESSY, J.; FICHTEL, C.; FISCHER, C.; FISHER, J. T.; FISCHHOFF, I.; FORD, A. T.; FRYXELL, J. M.; GEHR, B.; GOHEEN, J. R.; HAUPTFLEISCH, M.; HEWISON, A. J. M.; HERING, R.; HEURICH, M.; ISBELL, L. A.; JANSSEN, R.; JELTSCH, F.; KACZENSKY, P.; KAPPELER, P. M.; KROFEL, M.; LAPOINT, S.; LATHAM, A. D. M.; LINNELL, J. D. C.; MARKHAM, A. C.; MATTISSON, J.; MEDICI, E. P.; MOURAO, G.; MOORTER, B. V.; MORATO, R. G.; MORELLET, N.; MYSTERUD, A.; MWIU, S.; ODDEN, J.; OLSON, K. A.; ORNICANS, A.; PAGON, N.; PANZACCHI, M.; PETROELJE, T.; ROLANDSEN, C. M.; ROSHIER, D.; RUBENSTEIN, D. I.; SAÏD, S.; SALEMGAREYEV, A. R.; SAWYER, H.; SCHMIDT, N. M.; SELVA, N.; SERGIEL, A.; STABACH, J.; STACY-DAWES, J.; STEWART, F. E. C.; STIEGLER, J.; STRAND, O.; SUNDARESAN, S.; SVOBODA, N. J.; ULLMANN, W.; VOIGT, U.; WALL, J.; WIKELSKI, M.; WILMERS, C. C.; ZIEBA, F.; ZWIJACZ-KOZICA, T.; SCHIPPER, A. M.; TUCKER, M. A. Macroecological studies that require habitat suitability data for many species often derive this information from expert opinion. However, expert-based information is inherently subjective and thus pr... ... Repository: BDPA Publication year: 2022
A study on CNN-based detection of psyllids in sticky traps using multiple image data sources. Author(s): BARBEDO, J. G. A.; CASTRO, G. B. Abstract: Deep learning architectures like Convolutional Neural Networks (CNNs) are quickly becoming the standard for detecting and counting objects in digital images. However, most of the experiments... ... Repository: BDPA Publication year: 2020
A web-based platform for RNA-Seq data analysis and storage: a case study on soybean gene expression experiments. Author(s): BINNECK, E.; NASCIMENTO, L. S. do The availability of the soybean genome sequence and the rapid evolution of DNA sequencing technologies in recent years bring us exciting new promises for scientific discovery and its conversion into r... ... Repository: BDPA Publication year: 2012
An analysis of landscape fragmentation in the Brazilian Amazon based on deforestation data derived from Landsat imagery. Author(s): ALVES, D. S.; BATISTELLA, M.; LINHARES, C. A. Deforestation in the Brazilian Amazon has produced fragmentation of the largest tropical rain forest in the planet resulting in impacts over biodiversity and the functioning of ecosystems. Most of the... ... Repository: BDPA Publication year: 2008
Hierarchical classification of soybean in the Brazilian Savanna based on Harmonized Landsat Sentinel data. Author(s): PARREIRAS, T. C.; BOLFE, E. L.; CHAVES, M. E. D.; DEL'ARCO SANCHES, I.; SANO, E. E.; VICTORIA, D. de C.; BETTIOL, G. M.; VICENTE, L. E. Abstract. The Brazilian Savanna presents a complex agricultural dynamic and cloud cover issues; therefore, there is a need for new strategies for more detailed agricultural monitoring. Using a hierarc... ... Repository: BDPA Publication year: 2022

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