Search Publications
Filter by:
|
|
Author(s): ALBUQUERQUE, R. W.; VIEIRA, D. L. M.; FERREIRA, M. E.; SOARES, L. P.; OLSEN, S. I.; ARAUJO, L. S. de; VICENTE, L. E.; TYMUS, J. R. C.; BALIEIRO, C. P.; MATSUMOTO, M. H.; GROHMANN, C. H.
|
Author(s): SOUZA, K. X. S. de; OLIVEIRA, S. R. de M.; MACÁRIO, C. G. do N.; ESQUERDO, J. C. D. M.; MOURA, M. F.; LEITE, M. A. de A.; LIMA, H. P. de; CASTRO, A. de; TERNES, S.; YANO, I. H.; SANTOS, E. H. dos Introduction. Digital technologies. Organization, representation, and information access. Mathematical modelling and statistics. Artificial intelligence. Earth and study sensors. Converging technologi... ... |
Author(s): CHIARELLO, F.; STEINER, M. T. A.; OLIVEIRA, E. B. de; ARCE, J. E.; FERREIRA, J. C. Artificial Intelligence has been an important support tool in different spheres of activity, enabling knowledge aggregation, process optimization and the application of methodologies capable of solvin... ... |
Author(s): ARBEX, W. A.; COSTA, L. C. N.; FONSECA, L. M. G.; SILVA, C. DE L. F. DA
|
|
Author(s): BARRETO, P. V. DE A.; SILVA, M. A. S. da; MATOS, L. N.; MIRANDA JÚNIOR, G. F.; DOMPIERI, M. H. G.; MOURA, F. R. DE; RESENDE, F. K. S. ABSTRACT: This paper proposes an algorithm for analyzing clusters of thematic maps with ordinal categorical classes to support territorial zoning. The proposed method combines the Self-Organizing Map... ... |
Author(s): SOUSA, I. C. de; NASCIMENTO, M.; SILVA, G. N.; NASCIMENTO, A. C. C.; CRUZ, C. D.; SILVA, F. F. e; ALMEIDA, D. P. de; PESTANA, K. N.; AZEVEDO, C. F.; ZAMBOLIM, L.; CAIXETA, E. T. Genomic selection (GS) emphasizes the simultaneous prediction of the genetic effects of thousands of scattered markers over the genome. Several statistical methodologies have been used in GS for the p... ... |
Author(s): OSCO, L. P.; FURUYA, D. E. G.; FURUYA, M. T. G.; CORRÊA, D. V.; GONÇALVEZ, W. N.; MARCATO JUNIOR, J.; BORGES, M.; MORAES, M. C. B.; MICHEREFF, M. F. F.; AQUINO, M. F. S.; LAUMANN, R. A.; LISENBERG, V.; RAMOS, A. P. M.; JORGE, L. A. de C.
|
Observation
Some of Embrapa's publications are published as ePub files. To read them, use or download one of the following free software options to your computer or mobile device. Android: Google Play Books; IOS: iBooks; Windows and Linux: Calibre.
Access other publications
Access the Agricultural Research Database (BDPA) to consult Embrapa's full library collection and records.
Visit Embrapa Bookstore to purchase books and other publications sold by Embrapa.