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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
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
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
Classifying multiyear agricultural land use data from Mato Grosso using time-series MODIS vegetation index data. Author(s): BROWN, J. C.; KASTENS, J. H.; COUTINHO, A. C.; VICTORIA, D. de C.; BISHOP, C. R. MODIS 250-m NDVI and EVI datasets are now regularly used to classify regional-scale agricultural land-use practices in many different regions of the globe, especially in the state of Mato Grosso, Braz... ... Repository: BDPA Publication year: 2013
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
Field-oriented assessment of agricultural crops through temporal segmentation of modis VI data. Author(s): JONATHAN, M.; ARVOR, D.; MEIRELLES, M. S. P.; DUBREUIL, V. Monitoring agricultural crops constitutes a vital task for the general understanding of land use spatio-temporal dynamics. This paper presents an approach for the enhancement of current crop monitorin... ... Repository: BDPA Publication year: 2008

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