Optimal Lighting Control in Greenhouses Using Bayesian Neural Networks for Sunlight Prediction
Author:
Affiliation:
1. School of Electrical & Computer Engineering, University of Georgia,Athens,GA,USA,30602
2. University of Georgia,Department of Horticulture,Athens,GA,USA,30602
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9837955/9837961/09838124.pdf?arnumber=9838124
Reference26 articles.
1. Optimal lighting control in greenhouse by incorporating sunlight prediction
2. Optimal Lighting Control in Greenhouses Equipped with High-intensity Discharge Lamps Using Reinforcement Learning
3. Selection of input parameters to model direct solar irradiance by using artificial neural networks
4. Prediction of daily global solar irradiation data using Bayesian neural network: A comparative study
5. Longer Photoperiods with the Same Daily Light Integral Increase Daily Electron Transport through Photosystem II in Lettuce
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