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Artificial neural networks compared with Bayesian generalized linear regression for leaf rust resistance prediction in Arabica coffee. The objective of this work was to evaluate the use of artificial neural networks in comparison with Bayesian generalized linear regression to predict leaf rust resistance in Arabica coffee (Coffea ara... ... Repository: BDPA Publication year: 2017
Estimating Cotton Yield in the Brazilian Cerrado Using Linear Regression Models from MODIS Vegetation Index Time Series. Abstract: Satellite remote sensing data expedite crop yield estimation, offering valuable insights for farmers’ decision making. Recent forecasting methods, particularly those utilizing machine learni... ... Repository: BDPA Publication year: 2024
Prediction of mineral soil fraction through regressions trees and multiple (linear) regressions. Repository: BDPA Publication year: 2015
Linear, generalized, hierarchical, bayesian and random regression mixed models in genetics/genomics in plant breeding. This paper presents the state of the art of the statistical modelling as applied to plant breeding. Classes of inference, statistical models, estimation methods and model selection are emphasized in a... ... Repository: BDPA Publication year: 2020
Selection of cowpea genotypes for Mato Grosso do Sul via GGE Biplot and linear regression. Repository: BDPA Publication year: 2017
Chemical composition and energy yield of elephant-grass biomass as function of five different production ages. Abstract Elephant grass has high biomass production, with qualities suitable for conversion into bioenergy, but has long been used exclusively for animal feed and only in recent years has it become an... ... Repository: BDPA Publication year: 2018
Soil chemical attributes relationships around the Araucaria Angustifolia trees in agroforestry systems. This work aimed to understand the relationships between araucaria trees and some abiotic factors (soil type, soil organic C and soil nutrient supply) in agroforestry systems (AFS). Soils of two produc... ... Repository: BDPA Publication year: 2023
Modeling forest aboveground carbon density in the Brazilian Amazon with integration of MODIS and Airborne LiDAR data. 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

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