2 papers
cs.CV2020
AI on the Bog: Monitoring and Evaluating Cranberry Crop Risk
Peri Akiva, Benjamin Planche, Aditi Roy +3
Machine vision for precision agriculture has attracted considerable research interest in recent years. The goal of this paper is to develop an end-to-end cranberry health monitorin…
cs.CV2020
Finding Berries: Segmentation and Counting of Cranberries using Point Supervision and Shape Priors
Peri Akiva, Kristin Dana, Peter Oudemans +1
Precision agriculture has become a key factor for increasing crop yields by providing essential information to decision makers. In this work, we present a deep learning method for…