A dynamic knowledge model for fertilization management in processing tomato

Through analyzing and extracting the newest researches on nutrient requirement and fertilization management of processing tomato, a dynamic knowledge model for decision-making was developed. With the principles of nutrient balance, the establishment of the model was based on total nutrient supply levels and their distribution among main growth stages of processing tomato under different environments and yield targets, and integrated the factors of soil physic-chemical properties, yield targets and variety. Case studies on the knowledge model with the experiment data sets of different eco-sites, varieties and soil characters indicated a good model performance in decision-making and applicability.