IEEE ACCESS
Open Access Journal
Research Article | DOI: 10.1109/ACCESS.2025.3571730 ↗
Optimizing Nutrient Formulations Through Artificial Intelligence Model to Reduce Excessive Fertigation in Lettuce Grown in Hydroponic Systems
Gadelhag Mohmed1,2, Gultekin Hasanaliyeva2, Roy O'Mahony3, and Chungui Lu2,4
1 Department of Computer Science, Nottingham Trent University, NG11 8NS Nottingham, U.K.
2 School of Animal, Rural and Environmental Sciences, Nottingham Trent University, NG25 0QF Nottingham, U.K.
3 Aptisens Ltd., WV10 9TG Wolverhampton, U.K.
4 School of Agriculture, Animal and Environmental Sciences, ARU Writtle, CM1 3RR Chelmsford, U.K.
Corresponding authors: Chungui Lu (chungui.lu@aru.ac.uk) and Gadelhag Mohmed (gadelhag.mohmed@ntu.ac.uk)