水培叶用莴苣生长过程数值模拟研究进展OA

Crop growth models facilitate understanding and prediction of crop development,yield formation,and physiological responses under specific conditions,serving as vital tools for formulating production strategies in practical agricultural settings.This paper reviews research progress on growth models for lettuce cultivated hydroponically,categorising existing models into five major types:photosynthesis models,nutrient models and novel modelling techniques,growth monitoring classification models,yield models,and quality models.The paper identifies three core issues in current research:systemic inadequacies,weak regional adaptability,and insufficient mechanistic depth.In the future,research on improving the productivity of hydroponic lettuce systems through growth models should focus on the research and development of intelligent equipment,the development of dynamic monitoring systems integrating deep learning methods such as convolutional neural networks(CNN),and the improvement of precision regulation production technologies,to comprehensively enhance the productivity of hydroponic lettuce systems.