Daniel Garbellini Duft

The potential for RGB images obtained using unmanned aerial vehicle to assess and predict yield in sugarcane fields

Guilherme Martineli Sanches, Daniel Garbellini Duft, Oriel Tiago Kölln et al. · International Journal of Remote Sensing · 2018 · 83 citations

Uav Images, Precision Agriculture, Engineering +20

Empirical model for forecasting sugarcane yield on a local scale in Brazil using Landsat imagery and random forest algorithm

Ana Cláudia dos Santos Luciano, Michelle Cristina Araújo Picoli, Daniel Garbellini Duft et al. · Computers and Electronics in Agriculture · 2021 · 53 citations

Precision Agriculture, Sugarcane Yield, Engineering +13

Identifying suitable areas for expanding sugarcane ethanol production in Brazil under conservation of environmentally relevant habitats

Thayse Aparecida Dourado Hernandes, Daniel Garbellini Duft, Ana Cláudia dos Santos Luciano et al. · Journal of Cleaner Production · 2020 · 48 citations

Relevant Habitats, Circular Bioeconomy, Engineering +8

A generalized space-time OBIA classification scheme to map sugarcane areas at regional scale, using Landsat images time-series and the random forest algorithm

Ana Cláudia dos Santos Luciano, Michelle Cristina Araújo Picoli, Jansle Vieira Rocha et al. · International Journal of Applied Earth Observation and Geoinformation · 2019 · 47 citations · Full text

Precision Agriculture, Engineering, Forest Biometrics +13

Unraveling the potential of sugarcane electricity for climate change mitigation in Brazil

Nariê Rinke Dias de Souza, Daniel Garbellini Duft, Karina Maria Berbert Bruno et al. · Resources Conservation and Recycling · 2021 · 28 citations

Engineering, Sustainable Energy, Energy Transition +6