Predicting tomato yield in central Europe through integration of field experiments, DSSAT-Cropgro-Tomato simulations and machine learning

Abstract

Tomato (Solanum lycopersicum L.) is a major vegetable crop worldwide, valued for its nutritional quality, rich in antioxidants such as lycopene, and its economic significance. The aim of this study was to test three high-yielding tomato varieties (drought-tolerant Cocktail Crush F1, heat-sensitive Nagina F1, and the stable line Momini Salzi) at the Ostra site (2023–2025) to develop models for climate adaptation, disease risk management, and production efficiency.