Scientists in Israel have created an AI-based machine-learning model using hyperspectral imaging to assess tomato quality before harvest. The “non-destructive” method predicts key quality traits like weight, firmness and lycopene content, helping farmers monitor fruit development in real time, optimize harvest timing and enhance crop quality.
