Deep Learning Prediction of Chlorophyll Content in Tomato Leaves

Precision agriculture has improved crops production around the world. Non-destructive evaluation of chlorophyll contents of plant leaves can be a useful solution, in the field of precision farming. In order to take the required measures, sometimes it is essential to precisely evaluate the chlorophyll content, without cutting the target leaves. In this work, a deep learning methodology is proposed ...