[HTML][HTML] Incorporating artificial intelligence technology in smart greenhouses: Current State of the Art

C Maraveas - Applied Sciences, 2022 - mdpi.com
This article presents the current state-of-the-art research on applying artificial intelligence
(AI) technology in smart greenhouses to optimize crop yields, water, and fertilizer use …

Learning long-term crop management strategies with cyclesgym

M Turchetta, L Corinzia, S Sussex… - Advances in neural …, 2022 - proceedings.neurips.cc
To improve the sustainability and resilience of modern food systems, designing improved
crop management strategies is crucial. The increasing abundance of data on agricultural …

[HTML][HTML] Reinforcement Learning versus Model Predictive Control on greenhouse climate control

B Morcego, W Yin, S Boersma, E Van Henten… - … and Electronics in …, 2023 - Elsevier
The greenhouse system plays a crucial role to ensure an adequate supply of fresh food for
the growing global population. However, maintaining an optimal growing climate within a …

igrow: A smart agriculture solution to autonomous greenhouse control

X Cao, Y Yao, L Li, W Zhang, Z An, Z Zhang… - Proceedings of the …, 2022 - ojs.aaai.org
Agriculture is the foundation of human civilization. However, the rapid increase of the global
population poses a challenge on this cornerstone by demanding more food. Modern …

Provably improved context-based offline meta-rl with attention and contrastive learning

L Li, Y Huang, M Chen, S Luo, D Luo… - arXiv preprint arXiv …, 2021 - arxiv.org
Meta-learning for offline reinforcement learning (OMRL) is an understudied problem with
tremendous potential impact by enabling RL algorithms in many real-world applications. A …

[PDF][PDF] Robust deep reinforcement learning for greenhouse control and crop yield optimization

W van den Bemd - Master's thesis. Eindhoven University of Technology …, 2022 - pure.tue.nl
In this study we compare adaptations of two state of the art reinforcement learning
algorithms, PPO and SAC, to optimize grower profits in our own simulated hydroponics …

Optimal Control of Lettuce Greenhouse Horticulture using Model-Free Reinforcement Learning

Y Jansen - 2023 - studenttheses.uu.nl
A greenhouse is an important growing system that can provide a controlled climate
environment and allow for crop growth in a changing outdoor climate. Due to the high …

Intelligent Control Scheme Formulation for the Biotechnological Filter

D Yedilkhan, S Kusdavletov… - … Conference on Smart …, 2022 - ieeexplore.ieee.org
The problem of air pollution is significant, as there is a negative impact on human health.
This problem is especially relevant in large cities with many people living there and many …

[PDF][PDF] STRATEGICALLY MANAGING THE VALUE CREATION AND PRODUCTIVITY PARADOX OF

K Kukkonen - utupub.fi
This doctoral dissertation explores the strategic management of artificial intelligence as a
general purpose technology and its value creation in the context of multiple industries. I …