Rodrigo G. Trevisan

According to our database, Rodrigo G. Trevisan authored at least 5 papers between 2017 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

High-Throughput Phenotyping of Soybean Maturity Using Time Series UAV Imagery and Convolutional Neural Networks.

Rodrigo G. Trevisan, Osvaldo Pérez, Nathan Schmitz, Brian Diers, Nicolas F. Martin

Remote. Sens., 2020

Yield mapping methods for manually harvested crops.

André F. Colaço, Rodrigo G. Trevisan, F. H. S. Karp, José Paulo Molin

Comput. Electron. Agric., 2020

Modeling yield response to crop management using convolutional neural networks.

Alexandre Barbosa, Rodrigo G. Trevisan, Naira Hovakimyan, Nicolas F. Martin

Comput. Electron. Agric., 2020

The 1st Agriculture-Vision Challenge: Methods and Results.

Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2017

A Method to Obtain Orange Crop Geometry Information Using a Mobile Terrestrial Laser Scanner and 3D Modeling.

André F. Colaço, Rodrigo G. Trevisan, José Paulo Molin, Joan Ramón Rosell Polo, Alexandre Escolà

Remote. Sens., 2017