Using AI approaches for predicting tomato growth in hydroponic systems

Mohmed, G, Grundy, S ORCID logoORCID: https://orcid.org/0000-0002-6932-7234, Lotfi, A ORCID logoORCID: https://orcid.org/0000-0002-5139-6565 and Lu, C ORCID logoORCID: https://orcid.org/0000-0002-0064-4725, 2022. Using AI approaches for predicting tomato growth in hydroponic systems. In: Jansen, T, Jensen, R, MacParthaláin, N and Lin, CM, eds., Advances in computational intelligence systems. Contributions presented at the 20th UK Workshop on Computational Intelligence, September 8-10, 2021, Aberystwyth, Wales, UK. Advances in intelligent systems and computing (1409). Cham: Springer, pp. 277-287. ISBN 9783030870935

Full text not available from this repository.
Item Type: Chapter in book
Creators: Mohmed, G., Grundy, S., Lotfi, A. and Lu, C.
Publisher: Springer
Place of Publication: Cham
Date: 30 January 2022
Number: 1409
ISBN: 9783030870935
Identifiers:
Number
Type
10.1007/978-3-030-87094-2_24
DOI
1517124
Other
Divisions: Schools > School of Animal, Rural and Environmental Sciences
Schools > School of Science and Technology
Record created by: Jonathan Gallacher
Date Added: 11 Feb 2022 14:57
Last Modified: 11 Feb 2022 14:57
URI: https://irep.ntu.ac.uk/id/eprint/45633

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