Predicting tomato water consumption in a hydroponic greenhouse: contribution of light interception models.

ABSTRACT: In recent years, hydroponic greenhouse cultivation has gained increasing popularity: the combination of hydroponics' highly efficient use of resources with a controlled environment and an extended growing season provided by greenhouses allows for optimized, year-round plant growth. In this direction, precise and effective irrigation management is critical for achieving optimal crop yield while ensuring an economical use of water resources. This study explores techniques for explaining and predicting daily water consumption by utilizing only easily readily available meteorological data and the progressively growing records of the water consumption dataset. In situations where the dataset is limited in size, the conventional purely data-based approaches that rely on statistically benchmarkin

SUBMITTER: Florakis K 

PROVIDER: S-EPMC10714001 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature