Computer vision and machine learning for viticulture technology

KP Seng, LM Ang, LM Schmidtke, SY Rogiers - IEEE Access, 2018 - ieeexplore.ieee.org
This paper gives two contributions to the state-of-the-art for viticulture technology research.
First, we present a comprehensive review of computer vision, image processing, and …

What do we know about grapevine bunch compactness? A state‐of‐the‐art review

J Tello, J Ibáñez - Australian journal of grape and wine …, 2018 - Wiley Online Library
Bunch compactness (or density) is a grapevine specific trait that affects the commercial
quality and sanitary status of wine and tablegrapes. Compact bunches are more susceptible …

Modern viticulture in southern Europe: Vulnerabilities and strategies for adaptation to water scarcity

JM Costa, M Vaz, J Escalona, R Egipto, C Lopes… - Agricultural Water …, 2016 - Elsevier
Water is now considered the most important but vulnerable resource in the Mediterranean
region. Nevertheless, irrigation expanded fast in the region (eg South Portugal and Spain) to …

Deep learning image segmentation and extraction of blueberry fruit traits associated with harvestability and yield

X Ni, C Li, H Jiang, F Takeda - Horticulture research, 2020 - academic.oup.com
Fruit traits such as cluster compactness, fruit maturity, and berry number per clusters are
important to blueberry breeders and producers for making informed decisions about …

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

A Aquino, I Barrio, MP Diago, B Millan… - … and Electronics in …, 2018 - Elsevier
In agriculture, crop monitoring and plant phenoty** are mainly manually measured.
However, this practice gathers phenoty** information at a lower rate than genoty** …

A new methodology for estimating the grapevine-berry number per cluster using image analysis

A Aquino, MP Diago, B Millán, J Tardáguila - Biosystems engineering, 2017 - Elsevier
Highlights•The segmentation methodology is capable of working under field conditions.•The
algorithm properly analyses images taken with a low-cost device.•A novel set of descriptors …

Instance Segmentation and Berry Counting of Table Grape before Thinning Based on AS-SwinT

W Du, P Liu - Plant Phenomics, 2023 - spj.science.org
Berry thinning is one of the most important tasks in the management of high-quality table
grapes. Farmers often thin the berries per cluster to a standard number by counting. With an …

High-precision phenoty** of grape bunch architecture using fast 3D sensor and automation

F Rist, K Herzog, J Mack, R Richter, V Steinhage… - Sensors, 2018 - mdpi.com
Wine growers prefer cultivars with looser bunch architecture because of the decreased risk
for bunch rot. As a consequence, grapevine breeders have to select seedlings and new …

A new image-based tool for the high throughput phenoty** of pollen viability: evaluation of inter-and intra-cultivar diversity in grapevine

J Tello, MI Montemayor, A Forneck, J Ibáñez - Plant methods, 2018 - Springer
Background Low pollen viability may limit grapevine yield under certain conditions, causing
relevant economic losses to grape-growers. It is usually evaluated by the quantification of …

Deficit irrigation in table grape: eco-physiological basis and potential use to save water and improve quality

M Permanhani, JM Costa, MAF Conceição… - … and Experimental Plant …, 2016 - Springer
Table grapes are one of the most productive and economically relevant fruit crops
worldwide. Table grape production characterizes by high water productivity but also by an …