Artificial intelligence in the agri-food sector: Applications, risks and impacts

Activity

A 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.

Description

Research cited:
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

Period	Mar 2023
Held at	Computing Science