Machine vision for precision agriculture has attracted considerable research interest in
recent years. The aim of this paper is to review the most recent work in the application of …

This paper studies the state-of-the-art of active perception solutions for manipulation in
agriculture and suggests a possible architecture for an active perception system for …

In this paper, the segment and weight prediction problems are investigated for ear of grape
based on deep learning technologies. The image datum is collected from ZaoHeiBao grape …

Due to differences in planting environment, color, shape, size, and compactness, accurate
detection of grape clusters is very difficult. Herein, a real-time detection method for grape …

Automation of grapevine agricultural tasks, eg, harvesting, requires reliable methods for
detecting the exact cutting points of the grape bunches. Dynamically changing vineyard …

In order to achieve accurate segmentation of each grape image per berry, we construct a
dataset composed of red globe grape samples and use a two-stage “localization …

The efficient detection of grapes is a crucial technology for fruit-picking robots. To better
identify grapes from branch shading that is similar to the fruit color and improve the detection …

Radiata pine seedlings are raised in nursery beds and are lifted and sorted in winter before
being sold to forestry companies. This happens to order, as bare-root stock cannot survive …

This paper aims to study the segmentation demands of vineyard images using
Convolutional Neural Networks (CNNs). To this end, eleven CNN models able to provide …

Fast and accurate algorithms for object detection allow robotic systems to real-time process
scene information identically to the human visual system. The robotic system of our interest …