Daniel Garbellini Duft

Orcid: 0000-0002-9334-9687

According to our database1, Daniel Garbellini Duft authored at least 3 papers between 2019 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2021
Empirical model for forecasting sugarcane yield on a local scale in Brazil using Landsat imagery and random forest algorithm.
Comput. Electron. Agric., 2021

2019
A generalized space-time OBIA classification scheme to map sugarcane areas at regional scale, using Landsat images time-series and the random forest algorithm.
Int. J. Appl. Earth Obs. Geoinformation, 2019

Sentinel-2B and Random Forest algorithm potential for sugarcane varieties identification.
Proceedings of the XX Brazilian Symposium on Geoinformatics, 2019


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