5 citations · 5 across the 3 of their papers we have counts for
4 papers
LettuceVisSim: A Simulator That Generates Lettuce Image Time-series for Vision-Based Reinforcement Learning
Ziye Zhu, Bert van 't Ooster, Congcong Sun +2
Vision-based reinforcement learning holds strong potential for decision-making in controlled environment agriculture (CEA). However, its development is hindered by the scarcity of…
Improving greenhouse fruit-production control by integrating reinforcement learning into short-horizon model predictive control
Bart van Laatum, Salim Msaad, Eldert J. van Henten +2
Greenhouse fruit-production control aims to maximize the economic performance (fruit revenue minus operating costs) while operating within system constraints under external weather…
GreenLight-Gym: Reinforcement learning benchmark environment for control of greenhouse production systems
Bart van Laatum, Eldert J. van Henten, Sjoerd Boersma
This study presents GreenLight-Gym, a new, fast, open-source benchmark environment for developing reinforcement learning (RL) methods in greenhouse crop production control. Built o…
A Bayesian Neural ODE for a Lettuce Greenhouse
Sjoerd Boersma, Xiaodong Cheng
Greenhouse production systems play a crucial role in modern agriculture, enabling year-round cultivation of crops by providing a controlled environment. However, effectively quanti…