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Page 1
Can nonlinear agrometeorological models estimate coffee foliation?
de Oliveira Aparecido LE, Lorençone JA, Lorençone PA, de Souza Rolim G, de Meneses KC, da Silva Cabral de Moraes JR, Torsoni GB. de Oliveira Aparecido LE, et al. Among authors: de souza rolim g. J Sci Food Agric. 2022 Jan 30;102(2):584-596. doi: 10.1002/jsfa.11387. Epub 2021 Jul 5. J Sci Food Agric. 2022. PMID: 34159603
Climatic potential for summer and winter wine production.
de Oliveira Aparecido LE, Moreto VB, de Souza Rolim G, da Silva Cabral de Moraes JR, Valeriano TTB, de Souza PS. de Oliveira Aparecido LE, et al. Among authors: de souza rolim g. J Sci Food Agric. 2018 Mar;98(4):1280-1290. doi: 10.1002/jsfa.8575. Epub 2017 Sep 28. J Sci Food Agric. 2018. PMID: 28741681
Machine learning algorithms for soybean yield forecasting in the Brazilian Cerrado.
Barbosa Dos Santos V, Moreno Ferreira Dos Santos A, da Silva Cabral de Moraes JR, de Oliveira Vieira IC, de Souza Rolim G. Barbosa Dos Santos V, et al. Among authors: de souza rolim g. J Sci Food Agric. 2022 Jul;102(9):3665-3672. doi: 10.1002/jsfa.11713. Epub 2021 Dec 27. J Sci Food Agric. 2022. PMID: 34893984
Artificial neural networks and adaptive neuro-fuzzy inference systems for prediction of soil respiration in forested areas southern Brazil.
Vicentini ME, da Silva PA, Canteral KFF, De Lucena WB, de Moraes MLT, Montanari R, Filho MCMT, Peruzzi NJ, La Scala N Jr, De Souza Rolim G, Panosso AR. Vicentini ME, et al. Among authors: de souza rolim g. Environ Monit Assess. 2023 Aug 24;195(9):1074. doi: 10.1007/s10661-023-11679-8. Environ Monit Assess. 2023. PMID: 37615714
Climatic zoning of yerba mate and climate change projections: a CMIP6 approach.
Torsoni GB, de Oliveira Aparecido LE, Lorençone PA, Lorençone JA, de Lima RF, de Souza Rolim G. Torsoni GB, et al. Among authors: de souza rolim g. Int J Biometeorol. 2024 May;68(5):979-990. doi: 10.1007/s00484-024-02641-5. Epub 2024 Mar 7. Int J Biometeorol. 2024. PMID: 38451371