Cristiano Zerbato

Convolutional neural networks in predicting cotton yield from images of commercial fields

Danilo Tedesco, Rouverson Pereira da Silva, Walter Maldonado et al. · Computers and Electronics in Agriculture · 2020 · 75 citations · Full text

Precision Agriculture, Engineering, Commercial Fields +6

Comparison between vegetation indices for detecting spatial and temporal variabilities in soybean crop using canopy sensors

Franciele Morlin Carneiro, Carlos Eduardo Angeli Furlani, Cristiano Zerbato et al. · Precision Agriculture · 2019 · 74 citations · Full text

Precision Agriculture, Environmental Monitoring, Canopy Sensors +15

Quality of performance of the operation of sugarcane mechanized planting in day and night shifts

Murilo Aparecido Voltarelli, Rouverson Pereira da Silva, David Luciano Rosalen et al. · Americanae (AECID Library) · 2013 · 50 citations · Full text

Use of real-time extend GNSS for planting and inverting peanuts

Adão Felipe dos Santos, Rouverson Pereira da Silva, Cristiano Zerbato et al. · Precision Agriculture · 2018 · 35 citations · Full text

Precision Agriculture, Engineering, Real-time Extend Gnss +2

Predicting Sugarcane Biometric Parameters by UAV Multispectral Images and Machine Learning

Romário Porto de Oliveira, Marcelo Rodrigues Barbosa Júnior, Antônio Alves Pinto et al. · Agronomy · 2022 · 33 citations · Full text

Precision Agriculture, Environmental Monitoring, Machine Learning +23