Generative Plant Growth Simulation from Sequence-Informed Environmental Conditions

1 code implementation • 23 May 2024 • Mohamed Debbagh, Yixue Liu, Zhouzhou Zheng, Xintong Jiang, Shangpeng Sun, Mark Lefsrud

A plant growth simulation can be characterized as a reconstructed visual representation of a plant or plant system.

Eff-3DPSeg: 3D organ-level plant shoot segmentation using annotation-efficient point clouds

no code implementations • 20 Dec 2022 • Liyi Luo, Xintong Jiang, Yu Yang, Eugene Roy Antony Samy, Mark Lefsrud, Valerio Hoyos-Villegas, Shangpeng Sun

Second, a weakly-supervised deep learning method was proposed for plant organ segmentation.

Instance Segmentation Organ Segmentation +2

GrowSpace: Learning How to Shape Plants

no code implementations • 15 Oct 2021 • Yasmeen Hitti, Ionelia Buzatu, Manuel Del Verme, Mark Lefsrud, Florian Golemo, Audrey Durand

We argue that plant responses to an environmental stimulus are a good example of a real-world problem that can be approached within a reinforcement learning (RL)framework.

Fairness Reinforcement Learning (RL)