GBCNet: In-Field Grape Berries Counting for Yield Estimation by Dilated CNNs

Grape detection, segmentation, and tracking using deep neural networks and three-dimensional association

(2020) Thiago T. Santos et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Grape detection with Convolutional Neural Networks

(2020) Hubert Cecotti et al.   EXPERT SYSTEMS WITH APPLICATIONS

A vision-based robust grape berry counting algorithm for fast calibration-free bunch weight estimation in the field

(2020) Scarlett Liu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Counting of grapevine berries in images via semantic segmentation using convolutional neural networks

(2020) Laura Zabawa et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A new localized sampling method to improve grape yield estimation of the current season using yield historical data

(2019) M. Araya-Alman et al.   PRECISION AGRICULTURE

A Low-Cost and Unsupervised Image Recognition Methodology for Yield Estimation in a Vineyard

(2019) Salvatore Filippo Di Gennaro et al.   Frontiers in Plant Science

Single-Shot Convolution Neural Networks for Real-Time Fruit Detection Within the Tree

(2019) Kushtrim Bresilla et al.   Frontiers in Plant Science

Investigating 2-D and 3-D Proximal Remote Sensing Techniques for Vineyard Yield Estimation

(2019) Chris Hacking et al.   SENSORS

Deep Learning Techniques for Grape Plant Species Identification in Natural Images

(2019) Carlos S. Pereira et al.   SENSORS

vitisBerry: An Android-smartphone application to early evaluate the number of grapevine berries by means of image analysis

(2018) Arturo Aquino et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A pattern recognition strategy for visual grape bunch detection in vineyards

(2018) Rodrigo Pérez-Zavala et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

On-the-Go Grapevine Yield Estimation Using Image Analysis and Boolean Model

(2018) Borja Millan et al.   Journal of Sensors

Deep Count: Fruit Counting Based on Deep Simulated Learning

(2017) et al.   SENSORS

DeepFruits: A Fruit Detection System Using Deep Neural Networks

(2016) Inkyu Sa et al.   SENSORS

vitisFlower®: Development and Testing of a Novel Android-Smartphone Application for Assessing the Number of Grapevine Flowers per Inflorescence Using Artificial Vision Techniques

(2015) Arturo Aquino et al.   SENSORS

Vineyard Yield Estimation Based on the Analysis of High Resolution Images Obtained with Artificial Illumination at Night

(2015) Davinia Font et al.   SENSORS

Automated Visual Yield Estimation in Vineyards

(2014) Stephen Nuske et al.   Journal of Field Robotics

scikit-image: image processing in Python

(2014) Stéfan van der Walt et al.   PeerJ

The Pascal Visual Object Classes (VOC) Challenge

(2009) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION