4 accepted papers
In this work, we present a new dataset to advance the state-of-the-art in fruit detection, segmentation, and counting in orchard environments. While there has been significant recent interest in solving these problems, the lack of a unified dataset has made it difficult to compare results. We hope t
Estimating accurate and reliable fruit and vegetable counts from images in real-world settings, such as orchards, is a challenging problem that has received significant recent attention. Estimating fruit counts before harvest provides useful information for logistics planning. While considerable pro…
We consider the problem of building accurate three dimensional (3D)reconstructions of orchard rows. This problem arises in many applications including yield mapping and measuring traits (e.g. trunk diameters)for phenotyping. While 3D reconstructions of side views can be obtained using standard metho…
We consider an agricultural automation scenario where a robot, equipped with a camera mounted on a manipulator, is charged with counting the number of apples in an orchard. We focus on the subtask of planning views so as to accurately estimate the number of apples in an apple cluster. We present a m…