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Luciano Shozo Shiratsuchi
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2020 – today
- 2024
- [j7]Marcelo Rodrigues Barbosa Júnior, Bruno Rafael de Almeida Moreira, Vinicius dos Santos Carreira
, Armando Lopes de Brito Filho, Carolina Trentin, Flávia Luize Pereira de Souza, Danilo Tedesco
Precision agriculture in the United States: A comprehensive meta-review inspiring further research, innovation, and adoption. Comput. Electron. Agric. 221: 108993 (2024) - 2023
- [j6]Fábio Henrique Rojo Baio
Maize Yield Prediction with Machine Learning, Spectral Variables and Irrigation Management. Remote. Sens. 15(1): 79 (2023) - [j5]Dthenifer Cordeiro Santana
Machine Learning in the Classification of Soybean Genotypes for Primary Macronutrients' Content Using UAV-Multispectral Sensor. Remote. Sens. 15(5): 1457 (2023) - [j4]Gabriella Silva de Gregori
Machine Learning in the Hyperspectral Classification of Glycaspis brimblecombei (Hemiptera Psyllidae) Attack Severity in Eucalyptus. Remote. Sens. 15(24): 5657 (2023) - 2021
- [j3]Fernando Saragosa Rossi
19-year remotely sensed data in the forecast of spectral models of the environment. Int. J. Digit. Earth 14(8): 1040-1066 (2021) - [j2]Paulo Eduardo Teodoro
Predicting Days to Maturity, Plant Height, and Grain Yield in Soybean: A Machine and Deep Learning Approach Using Multispectral Data. Remote. Sens. 13(22): 4632 (2021)
2010 – 2019
- 2019
- [j1]Carlos Antonio da Silva Junior
Object-based image analysis supported by data mining to discriminate large areas of soybean. Int. J. Digit. Earth 12(3): 270-292 (2019)
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last updated on 2024-10-07 21:24 CEST by the dblp team
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