ActivityA study by the Panel for the Future of Science and Technology
The study was written at the request of the Panel for the Future of Science and Technology (STOA) and managed by the Scientific Foresight Unit, within the Directorate-General for Parliamentary Research Services (EPRS) of the Secretariat of the European Parliament.
Alhnaity, B., Pearson, S., Leontidis, G., & Kollias, S. (n.d.). Using Deep Learning to Predict Plant Growth and Yield in Greenhouse Environments. and
Alhnaity, B., Pearson, S., Leontidis, G., & Kollias, S. (2020). Using deep learning to predict plant growth and yield in greenhouse environments. Acta Horticulturae, 1296(Ml), 425–431. https://doi.org/10.17660/ActaHortic.2020.1296.55
|Held at||Computing Science|
Documents & Links
Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution