1. Edge AI–Driven Soil Sensing and Fertilization Prediction for Solanum betaceum

The growing demand for data-driven fertilization strategies in high-value perennial crops has fostered the development of intelligent systems capable of supporting decision-making directly in the field. In the case of tree tomato (Solanum betaceum), fertilization is commonly performed based on fixed schedules or empirical criteria, which often fail to account for soil dynamics and nutrient variability. This study investigates the feasibility of an embedded artificial intelligence system that integrates...