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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
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
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
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
Neural networks to predict breeding values of egg production using phenotypic information. Author(s): CRUZ, V. A. R.; SAVEGNAGO, R. P.; SCHMIDT, G. S.; LEDUR, M. C.; MUNARI, D. P. Repository: BDPA Publication year: 2014
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
Accessing the dry matter yield persistence in an alfalfa germplasm within Brazil through random regression models. Author(s): SANTOS, I. G.; PEIXOTO, M. A.; CRUZ, C. D.; FERREIRA, R. de P.; NASCIMENTO, M. Persistence plays a key role in alfalfa cultivation in tropical areas but is still a bottleneck for breeding programs. Repository: BDPA Publication year: 2021
Comparison between artificial neural networks and maximum likelihood classification in digital soil mapping. Author(s): CHAGAS, C. da S.; VIEIRA, C. A. O.; FERNANDES-FILHO, E. I. Soil surveys are the main source of spatial information on soils and have a range of different applications, mainly in agriculture. The continuity of this activity has however been severely compromise... ... Repository: BDPA Publication year: 2013
Laser-induced breakdown spectroscopy as an analytical tool for total carbon quantification in tropical and subtropical soils: evaluation of calibration algorithms. Author(s): BABOS, D. V.; GUEDES, W. N.; FREITAS, V. S.; SILVA, F. P.; TOZO, M. L. L.; VILLAS-BOAS, P. R.; MARTIN NETO, L.; MILORI, D. M. B. P. The demand for efficient, accurate, and cost-effective methods of measuring soil carbon (C) in agriculture is growing. Traditional approaches are time consuming and expensive, highlighting the need fo... ... Repository: BDPA Publication year: 2024
Reconhecimento de bovino pantaneiro utilizando visão computacional através da rede neural convolucional: resultados preliminares. Author(s): WEBER, F. de L.; WEBER, V. A. de M.; MENEZES, G.; OLIVEIRA JUNIOR, A. da S.; ALVES, D. A.; OLIVEIRA, M. V. M. de; PISTORI, H.; ABREU, U. G. P. de A fim de propor um método de identificação não invasivo para o reconhecimento dos bovinos, este trabalho utilizou as redes neurais convolucionais (CNN), que é uma rede específica para processamento e... ... Repository: BDPA Publication year: 2019

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