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Lucas Borges Ferreira
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Estimation of reference evapotranspiration in Brazil with limited meteorological data using ANN and SVM–a new approach
LB Ferreira, FF da Cunha, RA de Oliveira, EI Fernandes Filho
Journal of Hydrology 572, 556-570, 2019
2382019
New approach to estimate daily reference evapotranspiration based on hourly temperature and relative humidity using machine learning and deep learning
LB Ferreira, FF da Cunha
Agricultural Water Management 234, 106113, 2020
1362020
Multi-step ahead forecasting of daily reference evapotranspiration using deep learning
LB Ferreira, FF da Cunha
Computers and Electronics in Agriculture 178, 105728, 2020
992020
Machine learning models for streamflow regionalization in a tropical watershed
RG Ferreira, DD da Silva, AAA Elesbon, EI Fernandes-Filho, GV Veloso, ...
Journal of Environmental Management 280, 111713, 2021
362021
Multivariate adaptive regression splines (MARS) applied to daily reference evapotranspiration modeling with limited weather data
LB Ferreira, AB Duarte, FF da Cunha, EI Fernandes Filho
Acta Scientiarum. Agronomy 41, e39880, 2019
222019
Exploring machine learning and multi-task learning to estimate meteorological data and reference evapotranspiration across Brazil
LB Ferreira, FF da Cunha, EI Fernandes Filho
Agricultural Water Management 259, 107281, 2022
212022
Calibration methods for the Hargreaves-Samani equation
LB Ferreira, FF Cunha, AB Duarte, GC Sediyama, PR Cecon
Ciência e Agrotecnologia 42, 104-114, 2018
172018
Performance of different methods for reference evapotranspiration estimation in Jaíba, Brazil
GH Silva, SHB Dias, LB Ferreira, JÉO Santos, FF Cunha
Revista Brasileira de Engenharia Agrícola e Ambiental 22, 83-89, 2018
102018
Selecting models for the estimation of reference evapotranspiration for irrigation scheduling purposes
LB Ferreira, FF da Cunha, SS Zanetti
PloS one 16 (1), e0245270, 2021
92021
A smartphone APP for weather-based irrigation scheduling using artificial neural networks
LB Ferreira, FF Cunha, RA Oliveira, TF Rodrigues
Pesquisa Agropecuária Brasileira 55, 2020
92020
Generalizability of machine learning models and empirical equations for the estimation of reference evapotranspiration from temperature in a semiarid region
LB FERREIRA, FF CUNHA, GH SILVA, FB CAMPOS, SHB DIAS, ...
Anais da Academia Brasileira de Ciências 93 (1), 2021
62021
PREDICTIVE MODELS OF WATER APPLICATION AND DISTRIBUTION EFFICIENCY IN CONVENTIONAL SPRINKLING
ED Araújo, DL Santos, FCG Alvino, LB Ferreira, FF Cunha
Engenharia Agrícola 40, 24-33, 2020
62020
Vegetative growth stages of irrigated'Pérola'pineapple
VM Maia, FS Oliveira, RF Pegoraro, BAM Souza, LB Ferreira, I Aspiazú
Acta Horticuturae, 275-280, 2016
52016
HS Cal software for the calibration of the Hargreaves-Samani equation
LB Ferreira, FF Cunha, GC Sediyama, FB Campos
Pesquisa Agropecuária Brasileira 54, 2019
22019
Desenvolvimento inicial da cana-soca sob lâminas de irrigação de salvamento
T de Sousa Ferreira, FF da Cunha, LB Ferreira, FM Costa, E da Silva Neto
Agrarian 13 (50), 493-503, 2020
12020
Effect of silver thiosulfate on growth and inhibition of natural flowering of four pineapple cultivars
VM Maia, VD Araújo, LB Ferreira, RF Pegoraro, I Aspiazú, JM Rabelo, ...
Acta Horticulturae, 33-40, 2019
12019
Reference evapotranspiration estimated from air temperature using the MARS regression technique
LB Ferreira, AB Duarte, ED Araújo, T de Sousa Ferreira, FF da Cunha
Bioscience Journal 34 (3), 2018
12018
Applications of machine learning for reference evapotranspiration modeling
LB Ferreira
Universidade Federal de Viçosa, 2022
2022
Digital Irrigation
R Filgueiras, LB Ferreira, FF da Cunha
Digital Agriculture, 157-172, 2022
2022
Calibration of the hargreaves-samani equation for specific periods of the year in the municipality of Jaíba-MG, Brazil
AB Duarte, LB Ferreira, EF Santos
Engenharia na Agricultura, 2017
2017
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