Nicolas F. Martin

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 8

Top Topics

Reinforcement Learning

Convolutional Neural Networks

Top Venues

Comput. Electron. Agric.

Publications

Ran Tao, Pan Zhao, Jing Wu, Nicolas F. Martin, Matthew T. Harrison, Carla Sofia Santos Ferreira, Zahra Kalantari, Naira Hovakimyan
Optimizing Crop Management with Reinforcement Learning and Imitation Learning. IJCAI (2023)
Ran Tao, Pan Zhao, Jing Wu, Nicolas F. Martin, Matthew T. Harrison, Carla Sofia Santos Ferreira, Zahra Kalantari, Naira Hovakimyan
Optimizing Crop Management with Reinforcement Learning and Imitation Learning. AAMAS (2023)
Jing Wu, Ran Tao, Pan Zhao, Nicolas F. Martin, Naira Hovakimyan
Optimizing Nitrogen Management with Deep Reinforcement Learning and Crop Simulations. CVPR Workshops (2022)
Ran Tao, Pan Zhao, Jing Wu, Nicolas F. Martin, Matthew T. Harrison, Carla Sofia Santos Ferreira, Zahra Kalantari, Naira Hovakimyan
Optimizing Crop Management with Reinforcement Learning and Imitation Learning. CoRR (2022)
Jing Wu, Ran Tao, Pan Zhao, Nicolas F. Martin, Naira Hovakimyan
Optimizing Nitrogen Management with Deep Reinforcement Learning and Crop Simulations. CoRR (2022)
Alexandre Barbosa, Thiago Marinho, Nicolas F. Martin, Naira Hovakimyan
Multi-Stream CNN for Spatial Resource Allocation: a Crop Management Application. CVPR Workshops (2020)
Alexandre Barbosa, Naira Hovakimyan, Nicolas F. Martin
Risk-averse optimization of crop inputs using a deep ensemble of convolutional neural networks. Comput. Electron. Agric. 178 (2020)
Alexandre Barbosa, Rodrigo G. Trevisan, Naira Hovakimyan, Nicolas F. Martin
Modeling yield response to crop management using convolutional neural networks. Comput. Electron. Agric. 170 (2020)