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A machine learning models approach and remote sensing to forecast yield in corn with based cumulative growth degree days.
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- Theoretical & Applied Climatology, 2024, v. 155, n. 8, p. 7285, doi. 10.1007/s00704-024-05071-w
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- Article
Artificial neural networks and adaptive neuro-fuzzy inference systems for prediction of soil respiration in forested areas southern Brazil.
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- Environmental Monitoring & Assessment, 2023, v. 195, n. 9, p. 1, doi. 10.1007/s10661-023-11679-8
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- Article
The Accuracy of Land Use and Cover Mapping across Time in Environmental Disaster Zones: The Case of the B1 Tailings Dam Rupture in Brumadinho, Brazil.
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- Sustainability (2071-1050), 2023, v. 15, n. 8, p. 6949, doi. 10.3390/su15086949
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- Article
The Modeling of a River Impacted with Tailings Mudflows Based on the Differentiation of Spatiotemporal Domains and Assessment of Water–Sediment Interactions Using Machine Learning Approaches.
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- Water (20734441), 2024, v. 16, n. 3, p. 379, doi. 10.3390/w16030379
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- Article
Camargo, Köppen and Thornthwaite climate classification systems in defining climatical regions of the state of São Paulo, Brazil.
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- International Journal of Climatology, 2016, v. 36, n. 2, p. 636, doi. 10.1002/joc.4372
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- Article
BIOPHYSICAL CHARACTERISTICS OF SOYBEAN ESTIMATED BY REMOTE SENSING ASSOCIATED WITH ARTIFICIAL INTELLIGENCE.
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- Bioscience Journal, 2022, v. 38, p. 1, doi. 10.14393/BJ-v38n0a2022-55925
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- Article
Climate change and its alterations on annatto (Bixa orellana L.) climate zoning in Brazil.
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- Theoretical & Applied Climatology, 2024, v. 155, n. 3, p. 2473, doi. 10.1007/s00704-023-04823-4
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- Article
Addressing coffee crop diseases: forecasting Phoma leaf spot with machine learning.
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- Theoretical & Applied Climatology, 2024, v. 155, n. 3, p. 2261, doi. 10.1007/s00704-023-04739-z
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- Article
Correction to: Soybean yield prediction by machine learning and climate.
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- 2023
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- Correction Notice
Soybean yield prediction by machine learning and climate.
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- Theoretical & Applied Climatology, 2023, v. 151, n. 3/4, p. 1709, doi. 10.1007/s00704-022-04341-9
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- Article
Agroclimatic zoning for the incidence of brown eye spot on coffee under climate change scenarios.
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- Theoretical & Applied Climatology, 2022, v. 149, n. 3/4, p. 1471, doi. 10.1007/s00704-022-04123-3
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- Article
Forecasting El Niño and La Niña events using decision tree classifier.
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- Theoretical & Applied Climatology, 2022, v. 148, n. 3/4, p. 1279, doi. 10.1007/s00704-022-03999-5
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- Article
Climate change in Brazil: future scenarios classified by Thornthwaite (1948).
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- Theoretical & Applied Climatology, 2021, v. 146, n. 3/4, p. 1367, doi. 10.1007/s00704-021-03803-w
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- Article
Performance of the ECMWF in air temperature and precipitation estimates in the Brazilian Amazon.
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- Theoretical & Applied Climatology, 2020, v. 141, n. 3/4, p. 803, doi. 10.1007/s00704-020-03231-2
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- Article
Climate and natural quality of Coffea arabica L. drink.
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- Theoretical & Applied Climatology, 2020, v. 141, n. 1/2, p. 87, doi. 10.1007/s00704-020-03117-3
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- Article
Influence of El Niño and La Niña on coffee yield in the main coffee-producing regions of Brazil.
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- Theoretical & Applied Climatology, 2020, v. 139, n. 3/4, p. 1019, doi. 10.1007/s00704-019-03039-9
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- Article
Evaluation of air temperature and rainfall from ECMWF and NASA gridded data for southeastern Brazil.
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- Theoretical & Applied Climatology, 2019, v. 137, n. 3/4, p. 1925, doi. 10.1007/s00704-018-2706-z
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- Article
A method to determine agro-climatic zones based on correlation and cluster analyses.
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- Theoretical & Applied Climatology, 2018, v. 134, n. 3-4, p. 1355, doi. 10.1007/s00704-017-2342-z
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- Article
Climate and disease: tackling coffee brown‐eye spot with advanced forecasting models.
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- Journal of the Science of Food & Agriculture, 2024, v. 104, n. 9, p. 5442, doi. 10.1002/jsfa.13379
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- Article
Machine learning algorithms for soybean yield forecasting in the Brazilian Cerrado.
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- Journal of the Science of Food & Agriculture, 2022, v. 102, n. 9, p. 3665, doi. 10.1002/jsfa.11713
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- Article
Can nonlinear agrometeorological models estimate coffee foliation?
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- Journal of the Science of Food & Agriculture, 2022, v. 102, n. 2, p. 584, doi. 10.1002/jsfa.11387
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- Article
Agrometeorological models to forecast açaí (Euterpe oleracea Mart.) yield in the Eastern Amazon.
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- Journal of the Science of Food & Agriculture, 2020, v. 100, n. 4, p. 1558, doi. 10.1002/jsfa.10164
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- Article
Maturation periods for Coffea arabica cultivars and their implications for yield and quality in Brazil.
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- Journal of the Science of Food & Agriculture, 2018, v. 98, n. 10, p. 3880, doi. 10.1002/jsfa.8905
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- Article
Climatic potential for summer and winter wine production.
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- Journal of the Science of Food & Agriculture, 2018, v. 98, n. 4, p. 1280, doi. 10.1002/jsfa.8575
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- Article
Climate change and its consequences on the climatic zoning of Coffea canephora in Brazil.
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- Environment, Development & Sustainability, 2024, v. 26, n. 4, p. 8377, doi. 10.1007/s10668-023-03051-0
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- Article
Climate classification by Thornthwaite (1948) humidity index in future scenarios for Maranhão State, Brazil.
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- Environment, Development & Sustainability, 2023, v. 25, n. 1, p. 855, doi. 10.1007/s10668-021-02082-9
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- Article
Spatiotemporal variability of atmospheric CO<sub>2</sub> concentration and controlling factors over sugarcane cultivation areas in southern Brazil.
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- Environment, Development & Sustainability, 2022, v. 24, n. 4, p. 5694, doi. 10.1007/s10668-021-01677-6
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- Article
Alternative for potassic fertilization of vegetables in organic management in low fertility natural soil of the humid tropics.
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- Emirates Journal of Food & Agriculture (EJFA), 2020, v. 32, n. 3, p. 181, doi. 10.9755/ejfa.2020.v32.i3.2085
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- Article
An empirical model for estimating daily atmospheric column-averaged CO<sub>2</sub> concentration above São Paulo state, Brazil.
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- Carbon Balance & Management, 2022, v. 17, n. 1, p. 1, doi. 10.1186/s13021-022-00209-7
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- Article
Training Machine Learning Algorithms Using Remote Sensing and Topographic Indices for Corn Yield Prediction.
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- Remote Sensing, 2022, v. 14, n. 23, p. 6171, doi. 10.3390/rs14236171
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- Article
Corn grain yield forecasting by satellite remote sensing and machine‐learning models.
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- Agronomy Journal, 2022, v. 114, n. 5, p. 2956, doi. 10.1002/agj2.21141
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- Article
Estimation and forecasting of soybean yield using artificial neural networks.
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- Agronomy Journal, 2021, v. 113, n. 4, p. 3193, doi. 10.1002/agj2.20729
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- Article
Economic and agrometeorological modeling of sugarcane productivity in São Paulo state, Brazil.
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- Agronomy Journal, 2020, v. 112, n. 6, p. 4836, doi. 10.1002/agj2.20367
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- Article
Estimation of Coffee Yield from Gridded Weather Data.
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- Agronomy Journal, 2018, v. 110, n. 6, p. 2462, doi. 10.2134/agronj2017.11.0649
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- Article
Agrometeorological Models for Forecasting Coffee Yield.
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- Agronomy Journal, 2017, v. 109, n. 1, p. 249, doi. 10.2134/agronj2016.03.0166
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- Article
Climatic zoning of yerba mate and climate change projections: a CMIP6 approach.
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- International Journal of Biometeorology, 2024, v. 68, n. 5, p. 979, doi. 10.1007/s00484-024-02641-5
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- Article
A process-based model to simulate sugarcane orange rust severity from weather data in Southern Brazil.
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- International Journal of Biometeorology, 2021, v. 65, n. 12, p. 2037, doi. 10.1007/s00484-021-02162-5
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- Article
Models for simulating the frequency of pests and diseases of Coffea arabica L.
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- International Journal of Biometeorology, 2020, v. 64, n. 7, p. 1063, doi. 10.1007/s00484-020-01881-5
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- Article
Machine learning algorithms for forecasting the incidence of Coffea arabica pests and diseases.
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- International Journal of Biometeorology, 2020, v. 64, n. 4, p. 671, doi. 10.1007/s00484-019-01856-1
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- Article
Neural networks in spatialization of meteorological elements and their application in the climatic agricultural zoning of bamboo.
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- International Journal of Biometeorology, 2018, v. 62, n. 11, p. 1955, doi. 10.1007/s00484-018-1596-1
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- Article
Rainfall prediction methodology with binary multilayer perceptron neural networks.
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- Climate Dynamics, 2019, v. 52, n. 3/4, p. 2319, doi. 10.1007/s00382-018-4252-x
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- Article
Land Equivalent Ratio in the Intercropping of Cucumber with Lettuce as a Function of Cucumber Population Density.
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- Agriculture; Basel, 2020, v. 10, n. 3, p. 88, doi. 10.3390/agriculture10030088
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- Article
Agrometeorological models for groundnut crop yield forecasting in the Jaboticabal, São Paulo State region, Brazil.
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- Acta Scientiarum: Agronomy, 2015, v. 37, n. 4, p. 403, doi. 10.4025/actasciagron.v37i4.19766
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- Article
Reference evapotranspiration models using different time scales in the Jaboticabal region of São Paulo, Brazil.
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- Acta Scientiarum: Agronomy, 2015, v. 37, n. 1, p. 1, doi. 10.4025/actasciagron.v37i1.18277
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- Article
Microclimate in coffee plantation grown under grevillea trees shading.
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- Acta Scientiarum: Agronomy, 2011, v. 33, n. 2, p. 201, doi. 10.4025/actasciagron.v33i2.7065
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- Article