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Multi-omic data integration for the study of production, carcass, and meat quality traits in Nellore cattle. Author(s): NOVAIS, F. J. DE; YU, H.; CESAR, A. S. M.; MOMEN, M.; POLETI, M. D.; PETRY, B.; MOURÃO, G. B.; REGITANO, L. C. de A.; MOROTA, G.; COUTINHO, L. L. Data integration using hierarchical analysis based on the central dogma or common pathway enrichment analysis may not reveal non-obvious relationships among omic data. Here, we applied factor analysis... ... Repository: BDPA Publication year: 2022
Monitoring complex integrated crop-livestock systems at regional scale in Brazil: a big earth observation data approach. Author(s): KUCHLER, P. C.; SIMÕES, M.; FERRAZ, R. P. D.; ARVOR, D.; MACHADO, P. L. O. de A.; ROSA, M.; GAETANO, R.; BÉGUÉ, A. Due to different combinations of agriculture, livestock and forestry managed by rotation, succession and intercropping practices, integrated agriculture production systems such as integrated crop-live... ... Repository: BDPA Publication year: 2022
Machado: open source genomics data integration framework. Author(s): MUDADU, M. de A.; ZERLOTINI NETO, A. Abstract. Background: Genome projects and multiomics experiments generate huge volumes of data that must be stored, mined, and transformed into useful knowledge. All this information is supposed to be... ... Repository: BDPA Publication year: 2020
Land-cover classification in the Brazilian Amazon with the integration of Landsat ETM + and Radarsat data. Author(s): LU, D.; BATISTELLA, M.; MORAN, E. Land-cover classification with remotely sensed data in moist tropical regions in a challenge due to the complex biophysical conditions. This paper explores techniques to improve land-cover classificat... ... Repository: BDPA Publication year: 2007
Machado: a genomic data integration framework for Chado developed with Django. Author(s): MUDADU, M. de A.; ZERLOTINI NETO, A. Repository: BDPA Publication year: 2019
Big earth observation data and machine learning for mapping crop-livestock integrated system in Brazil. Author(s): KUCHLER, P. C.; SIMÕES, M.; BEGUE, A.; FERRAZ, R. P. D. The adoption of crop-livestock (iCL) integrated systems has been pointed out as an important strategy for increasing production based on sustainable intensification of land use in Brazil. Mapping and... ... Repository: BDPA Publication year: 2021
Evaluation of early season mapping of integrated crop livestock systems using Sentinel-2 data. Author(s): TORO, A. P. S. G. D.; WERNER, J. P. S.; REIS, A. A. dos; ESQUERDO, J. C. D. M.; ANTUNES, J. F. G.; COUTINHO, A. C.; LAMPARELLI, R. A. C.; MAGALHÃES, P. S. G.; FIGUEIREDO, G. K. D. A. ABSTRACT. Various approaches were developed considering the need to increase agricultural productivity in cultivated areas without more deforestation, such as the Integrated Crop livestock systems (IC... ... Repository: BDPA Publication year: 2022
Modeling forest aboveground carbon density in the Brazilian Amazon with integration of MODIS and Airborne LiDAR data. Author(s): JIANG, X.; LI, G.; LU, D.; MORAN, E.; BATISTELLA, M. Abstract: Timely updates of carbon stock distribution are needed to better understand the impacts of deforestation and degradation on forest carbon stock dynamics. This research aimed to explore an ap... ... Repository: BDPA Publication year: 2020
SAR and optical data applied to early-season mapping of integrated crop-livestock systems using deep and machine learning algorithms. Author(s): TORO, A. P. S. G. D. D.; BUENO, I. T.; WERNER, J. P. S.; ANTUNES, J. F. G.; LAMPARELLI, R. A. C.; COUTINHO, A. C.; ESQUERDO, J. C. D. M.; MAGALHÃES, P. S. G.; FIGUEIREDO, G. K. D. A. In this work, we explored the potential of three machine and deep learning algorithms (random forest, long short-term memory, and transformer) to perform early-season (with three-time windows) mapping... ... Repository: BDPA Publication year: 2023
Analysis of grassland degradation in Zona da Mata, MG, Brazil, based on NDVI time series data with the integration of phenological metrics. Author(s): HOTT, M. C.; CARVALHO, L. M. T.; ANTURNES, M. A. H.; RESENDE, J. C. de; ROCHA, W. S. D. da There is currently a lot of interest in determining the state of Brazilian grasslands. Governmental actions and programs have recently been implemented for grassland recovery in Brazilian states, with... ... Repository: BDPA Publication year: 2019

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