Computer vision and machine learning for viticulture technology
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 …
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
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 …
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
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 …
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 …
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
In agriculture, crop monitoring and plant phenoty** are mainly manually measured.
However, this practice gathers phenoty** information at a lower rate than genoty** …
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
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 …
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 …
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
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 …
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
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 …
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
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 …
worldwide. Table grape production characterizes by high water productivity but also by an …