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Article Versions Notes

AgriEngineering 2024, 6(4), 4384-4394; https://doi.org/10.3390/agriengineering6040248

Action	Date	Notes	Link
article xml file uploaded	21 November 2024 14:21 CET	Original file	-
article xml uploaded.	21 November 2024 14:21 CET	Update	https://www.mdpi.com/2624-7402/6/4/248/xml
article pdf uploaded.	21 November 2024 14:21 CET	Version of Record	https://www.mdpi.com/2624-7402/6/4/248/pdf
article html file updated	21 November 2024 14:24 CET	Original file	https://www.mdpi.com/2624-7402/6/4/248/html

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MDPI and ACS Style

Ratke, R.F.; Viana, P.R.N.; Teodoro, L.P.R.; Baio, F.H.R.; Teodoro, P.E.; Santana, D.C.; Santos, C.E.d.S.; Zuffo, A.M.; Aguilera, J.G. Multispectral Sensors and Machine Learning as Modern Tools for Nutrient Content Prediction in Soil. AgriEngineering 2024, 6, 4384-4394. https://doi.org/10.3390/agriengineering6040248

AMA Style

Ratke RF, Viana PRN, Teodoro LPR, Baio FHR, Teodoro PE, Santana DC, Santos CEdS, Zuffo AM, Aguilera JG. Multispectral Sensors and Machine Learning as Modern Tools for Nutrient Content Prediction in Soil. AgriEngineering. 2024; 6(4):4384-4394. https://doi.org/10.3390/agriengineering6040248

Chicago/Turabian Style

Ratke, Rafael Felippe, Paulo Roberto Nunes Viana, Larissa Pereira Ribeiro Teodoro, Fábio Henrique Rojo Baio, Paulo Eduardo Teodoro, Dthenifer Cordeiro Santana, Carlos Eduardo da Silva Santos, Alan Mario Zuffo, and Jorge González Aguilera. 2024. "Multispectral Sensors and Machine Learning as Modern Tools for Nutrient Content Prediction in Soil" AgriEngineering 6, no. 4: 4384-4394. https://doi.org/10.3390/agriengineering6040248

APA Style

Ratke, R. F., Viana, P. R. N., Teodoro, L. P. R., Baio, F. H. R., Teodoro, P. E., Santana, D. C., Santos, C. E. d. S., Zuffo, A. M., & Aguilera, J. G. (2024). Multispectral Sensors and Machine Learning as Modern Tools for Nutrient Content Prediction in Soil. AgriEngineering, 6(4), 4384-4394. https://doi.org/10.3390/agriengineering6040248

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