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1

Climatic zoning of yerba mate and climate change projection..:

Torsoni, Guilherme Botega ; de Oliveira Aparecido, Lucas Eduardo ; Lorençone, Pedro Antonio...
International Journal of Biometeorology. 68 (2024) 5 - p. 979-990 , 2024

Link: https://doi.org/10.1007/..

2

Climate and disease: tackling coffee brown‐eye spot with ad..:

de Oliveira Aparecido, Lucas Eduardo ; de Lima, Rafael Fausto ; Torsoni, Guilherme Botega...
Journal of the Science of Food and Agriculture. 104 (2024) 9 - p. 5442-5461 , 2024

Link: https://doi.org/10.1002/..

3

A machine learning models approach and remote sensing to fo..:

Pinto, Antonio Alves ; Zerbato, Cristiano ; de Souza Rolim, Glauco
Theoretical and Applied Climatology. , 2024

Link: https://doi.org/10.1007/..

4

Climate change and its alterations on annatto (Bixa orellan..:

Lorençone, João Antonio ; de Oliveira Aparecido, Lucas Eduardo ; Lorençone, Pedro Antonio...
Theoretical and Applied Climatology. 155 (2024) 3 - p. 2473-2497 , 2024

Link: https://doi.org/10.1007/..

5

Climate change and its consequences on the climatic zoning ..:

Lorençone, Pedro Antonio ; de Oliveira Aparecido, Lucas Eduardo ; Lorençone, João Antonio...
Environment, Development and Sustainability. 26 (2023) 4 - p. 8377-8398 , 2023

Link: https://doi.org/10.1007/..

6

Artificial neural networks and adaptive neuro-fuzzy inferen..:

Vicentini, Maria Elisa ; da Silva, Paulo Alexandre ; Canteral, Kleve Freddy Ferreira...
Environmental Monitoring and Assessment. 195 (2023) 9 - p. , 2023

Link: https://doi.org/10.1007/..

7

Addressing coffee crop diseases: forecasting Phoma leaf spo..:

de Oliveira Aparecido, Lucas Eduardo ; Lorençone, Pedro Antonio ; Lorençone, João Antonio...
Theoretical and Applied Climatology. 155 (2023) 3 - p. 2261-2282 , 2023

Link: https://doi.org/10.1007/..

8

Correction to: Soybean yield prediction by machine learning..:

Torsoni, Guilherme Botega ; de Oliveira Aparecido, Lucas Eduardo ; dos Santos, Gabriela Marins...
Theoretical and Applied Climatology. 151 (2023) 3-4 - p. 1727-1727 , 2023

Link: https://doi.org/10.1007/..

9

Soybean yield prediction by machine learning and climate:

Torsoni, Guilherme Botega ; de Oliveira Aparecido, Lucas Eduardo ; dos Santos, Gabriela Marins...
Theoretical and Applied Climatology. 151 (2023) 3-4 - p. 1709-1725 , 2023

Link: https://doi.org/10.1007/..

10

Geochemistry and contamination of sediments and water in ri..:

Pacheco, Fernando António Leal ; do Valle Junior, Renato Farias ; de Melo Silva, Maytê Maria Abreu Pires...
Applied Geochemistry. 152 (2023) - p. 105644 , 2023

Link: https://doi.org/10.1016/..

11

Agricultural zoning of Coffea arabica in Brazil for current..:

Lorençone, João Antonio ; de Oliveira Aparecido, Lucas Eduardo ; Lorençone, Pedro Antonio...
Environment, Development and Sustainability. , 2023

Link: https://doi.org/10.1007/..

12

The Accuracy of Land Use and Cover Mapping across Time in E..:

Filho, Carlos Roberto Mangussi ; do Valle Junior, Renato Farias ; de Melo Silva, Maytê Maria Abreu Pires...
Sustainability. 15 (2023) 8 - p. 6949 , 2023

Link: https://doi.org/10.3390/..

13

An empirical model for estimating daily atmospheric column-..:

da Costa, Luis Miguel ; de Araújo Santos, Gustavo André ; Panosso, Alan Rodrigo..
Carbon Balance and Management. 17 (2022) 1 - p. , 2022

Link: https://doi.org/10.1186/..

14

Agroclimatic zoning for the incidence of brown eye spot on ..:

de Lima, Rafael Fausto ; de Oliveira Aparecido, Lucas Eduardo ; Torsoni, Guilherme Botega...
Theoretical and Applied Climatology. 149 (2022) 3-4 - p. 1471-1496 , 2022

Link: https://doi.org/10.1007/..

15

Biophysical characteristics of soybean estimated by remote ..:

Morlin Carneiro, Franciele ; Freire de Oliveira, Mailson ; Luns Hatum de Almeida, Samira...
Bioscience Journal. 38 (2022) - p. e38024 , 2022

Link: https://doi.org/10.14393..

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