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Data fusion in agriculture: resolving ambiguities and closing data gaps. Author(s): BARBEDO, J. G. A. Abstract. Acquiring useful data from agricultural areas has always been somewhat of a challenge, as these are often expansive, remote, and vulnerable to weather events. Despite these challenges, as te... ... Repository: BDPA Publication year: 2022
The Research Data Alliance Interest Group on Agricultural Data: supporting a global community of practice. Author(s): BERTIN, P. R. B.; PARR, C.; DRUCKER, D. P.; SUBIRATS, I. This chapter reflecs on the lessons learnt from the IGAD community of practive in its attempts to include new voices around the world. Repository: BDPA Publication year: 2023
Multilevel data fusion for the internet of things in smart agriculture. Author(s): TORRES, A. B. B.; ROCHA, A. R. DA; SILVA, T. L. C. DA; SOUZA, J. N. DE; GONDIM, R. S. Repository: BDPA Publication year: 2020
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
Improving regional coverage of agricultural data in a background database. Author(s): MORENO-RUIZ, E.; FAIST, M.; BAJAJ, S.; DATA, A.; GMUENDER, S.; MATSUURA, M. I. da S. F.; SAFAEI, A.; WERNET, G. Abstract: The creation of reliable, consistent and transparent regionalized LCIs represents a core purpose of the Sustainable Recycling Industries-Life Cycle Inventories (SRI-LCI) project. SRI-LCI was... ... Repository: BDPA Publication year: 2019
A prospective study on the application of Data Science in agriculture. Author(s): SOUZA, K. X. S. de; TERNES, S.; OLIVEIRA, S. R. de M.; MOURA, M. F.; BARIONI, L. G.; HIGA, R. H.; FASIABEN, M. do C. R. A quantidade e diversidade de dados disponíveis têm o potencial de causar profundas transformações na maneira que se realiza pesquisa e se propõe inovações na agricultura. Na chamada era do Petabyte,... ... Repository: BDPA Publication year: 2017
Remote sensing and kriging with external drift to improve sparse proximal soil sensing data and define management zones in precision agriculture. Author(s): RODRIGUES, H. M.; CEDDIA, M. B.; VASQUES, G. M.; MULDER, V. L.; HEUVELINK, G. B. M.; OLIVEIRA, R. P. de; BRANDAO, Z. N.; MORAIS, J. P. S.; NEVES, M. L.; TAVARES, S. R. de L. The precision agriculture scientific field employs increasingly innovative techniques to optimize inputs, maximize profitability, and reduce environmental impacts. Therefore, obtaining a high number o... ... Repository: BDPA Publication year: 2023
Feature engineering vs. extraction: clustering Brazilian municipalities through spatial panel agricultural data via autoencoders. Author(s): SILVA, M. A. S. da; MATOS, L. N.; SANTOS, F. E. de O.; DOMPIERI, M. H. G.; MOURA, F. R. de This article compares the clustering of Brazilian municipalities according to their agricultural diversity using two approaches, one based on feature engineering and the other based on feature extract... ... Repository: BDPA Publication year: 2022
Mapping agricultural intensification in the Brazilian savanna: a machine learning approach using harmonized data from Landsat Sentinel-2. Author(s): BOLFE, E. L.; PARREIRAS, T. C.; SILVA, L. A. P. da; SANO, E. E.; BETTIOL, G. M.; VICTORIA, D. de C.; DEL'ARCO SANCHES, I.; VICENTE, L. E. Agricultural intensification practices have been adopted in the Brazilian savanna (Cerrado), mainly in the transition between Cerrado and the Amazon Forest, to increase productivity while reducing pre... ... Repository: BDPA Publication year: 2023
Feature extraction of spatial panel data with autoencoders for clustering the Brazilian agricultural diversity. Author(s): SILVA, M. A. S. da; MATOS, L. N.; SANTOS, F. E. DE O.; DOMPIERI, M. H. G.; MOURA, F. R. DE ABSTRACT - Brazilian agricultural production presents a high degree of spatial diversity, which challenges designing territorial public policies to promote sustainable development. This article propos... ... Repository: BDPA Publication year: 2022

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