📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Using AI Approaches for Predicting Tomato Growth in Hydroponic Systems

First Author: Mohmed G
Attributed to:  STFC Food Network+ Extension funded by STFC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/978-3-030-87094-2_24

Publication URI: http://dx.doi.org/10.1007/978-3-030-87094-2_24

Type: Book Chapter

Book Title: Advances in Computational Intelligence Systems - Contributions Presented at the 20th UK Workshop on Computational Intelligence, September 8-10, 2021, Aberystwyth, Wales, UK (2022)

Page Reference: 277-287