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Classification of integrated crop-livestock systems using PlanetScope time series. Author(s): ANTUNES, J. F. G.; REIS, A. A. dos; ALMEIDA, H. S. L.; WERNER, J. P. S.; FIGUEIREDO, G. K. D. A.; ESQUERDO, J. C. D. M.; BUENO, I. T.; TORO, A. P. S. G. D.; LAMPARELLI, R. A. C.; COUTINHO, A. C.; MAGALHÃES, P. S. G. In this study, we assessed the performance of high spatial and temporal resolution PlanetScope (PS) time series to map integrated crop-livestock systems (ICLS) and different land covers in the western... ... Repository: BDPA Publication year: 2023
Artificial neural networks in the classification and identification of soybean cultivars by planting region. Author(s): GALÃO, O. F.; BORSATO, D.; PINTO, J. P.; VISENTAINER, J. V.; CARRÃO-PANIZZI, M. C. Vinte variedades de soja (Glycine max), quatorze convencionais e seis variedades transgênicas (RR) foram analisadas quanto ao teor de proteína, ácido fítico, teor de óleo, fitosteróis, cinzas, minerai... ... Repository: BDPA Publication year: 2011
Multisensor approach to land use and land cover mapping in Brazilian Amazon. Author(s): PRUDENTE, V. H. R.; SKAKUN, S.; OLDONI, L. V.; XAUD, H. A. M.; XAUD, M. R.; ADAMI, M.; SANCHES, I. D. A. Remote sensing has an important role in the Land Use and Land Cover (LULC) mapping process worldwide. Combining spaceborne optical and microwave data is essential for accurate classification in areas... ... Repository: BDPA Publication year: 2022
Evaluation of laser induced breakdown spectroscopy for multielemental determination in soils under sewage sludge application. Author(s): FERREIRA, E. C.; MILORI, D. M. B. P.; FERREIRA, E. J.; SANTOS, L. M. dos; MARTIN NETO, L.; NOGUEIRA, A. R. de A. Laser induced breakdown spectroscopy (LIBS) is an atomic emission spectroscopy technique for simple, direct and clean analysis, with great application potential in environmental sustainability studies... ... Repository: BDPA Publication year: 2011
Artificial neural networks applied in forest biometrics and modeling: state of the art (January/2007 to July/2018). 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... ... Repository: BDPA Publication year: 2019
Uso de redes neurais multicamadas para classificação de perfis de solos. Author(s): SOUZA, K. X. S. de; CAMARGO NETO, J. Resumo - O processo de classificação de solos executado por especialistas é uma tarefa laboriosa, que envolve várias etapas de coleta e a aplicação de regras de classificação de acordo com o Manual do... ... Repository: BDPA Publication year: 2019
Predicting coffee water potential from spectral reflectance indices with neural networks. Author(s): NUNES, P. H.; PIERANGELI, E. V.; SANTOS, M. O.; SILVEIRA, H. R. O.; MATOS, C. S. M. de; PEREIRA, A. B.; ALVES, H. M. R.; VOLPATO, M. M. L.; SILVA, V. A.; FERREIRA, D. D. Leaf water potential is one of the main parameters used to assess water relations in plants by revealing levels of tissue hydration. It is commonly measured with the Scholander pressure chamber; which... ... Repository: BDPA Publication year: 2023
Near-real time deforestation detection in the Brazilian Amazon with Sentinel-1 and neural networks. Author(s): SILVA, C. A.; GUERRISI, G.; DEL FRATE, F.; SANO, E. E. Optical-based near-real time deforestation alert systems in the Brazilian Amazon are ineffective in the rainy season. This study identify clear-cut deforested areas through Neural Network (NN) algorit... ... Repository: BDPA Publication year: 2022

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