Abstract: In this paper, we propose a deep learning method to analyze and model beetle damage in Sappi’s eucalyptus tree plantations. Damage is caused by the Gonipterus (snout beetle). We propose a deep neural network which will be compared against a baseline model in the form of a logistic regression model. The deep neural network will be used to predict damage by the beetle and provide information that can be used aid Sappi in applying preventative measures to limit future potential damage from the beetle.