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Author(s): LEMOS, S. G.; NOGUEIRA, A. R. de A.; TORRE NETO, A.; PARRA, A.; ALONSO, J. An agrarian sensorial system based on temperature, moisture, and all solid-state ion-selective potentiometric sensors was developed with the objective of monitoring the behavior of H+ and Ca2+ ions in... ... |
Author(s): MAZZARO, R. V.; REISSER JUNIOR, C.; ROMANO, L. R.; TIMM, L. C.
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Author(s): MAZZARO, R. V.; ROMANO, L. R.; SEUS, M. C.; REISSER JUNIOR, C.; TIMM, L. C.
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Author(s): PASCHOALIN, R. T.; STEFFENS, C.; MANZOLI, A.; CRESTANA, S.; MELO, W. L. B.; HERRMANN JUNIOR, P. S. de P.
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Author(s): OSCO, L. P.; RAMOS, A. P. M.; PINHEIRO, M. M. F.; MORIYA, E. A. S.; IMAI, N. N.; ESTRABIS, N.; IANCZYK, F.; ARAÚJO, F. F.; LIESENBERG, V.; JORGE, L. A. de C.; LI, J.; MA, L.; GONÇALVES, W. N.; MARCATO JUNIOR, J.; CRESTE, J. E. This paper presents a framework based on machine learning algorithms to predict nutrient content in leaf hyperspectral measurements. This is the first approach to evaluate macro- and micronutrient con... ... |
Author(s): PEREIRA, J. C.; ANDRE, R. S.; MERCANTE, L. A.; CORREA, D. S.
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Author(s): ZONTA, J. H.; MANIÇOBA, R. M.; BRANDAO, Z. N.; BEZERRA, J. R. C.; CARRILLO, M. A.; SOFIATTI, V. O uso de ferramentas precisas e de fácil manejo para avaliação das condições hídricas das culturas e acompanhamento do ciclo fenológico são de fundamental importância atualmente devido aos problemas d... ... |
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