[HTML][HTML] Proximal sensing for geometric characterization of vines: A review of the latest advances

H Moreno, D Andújar - Computers and Electronics in Agriculture, 2023 - Elsevier
Several variables, including a rising human population, varying weather patterns in the
context of ongoing climate change, and the rapid worldwide spread of epidemics, all …

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 …

Genetic and genomic approaches for adaptation of grapevine to climate change

S Delrot, J Grimplet, P Carbonell-Bejerano… - Genomic designing of …, 2020 - Springer
The necessity to adapt to climate change is even stronger for grapevine than for other crops,
because grape berry composition—a key determinant of fruit and wine quality, typicity and …

A low-cost and unsupervised image recognition methodology for yield estimation in a vineyard

SF Di Gennaro, P Toscano, P Cinat, A Berton… - Frontiers in plant …, 2019 - frontiersin.org
Yield prediction is a key factor to optimize vineyard management and achieve the desired
grape quality. Classical yield estimation methods, which consist of manual sampling within …

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 …

Analysis of depth cameras for proximal sensing of grapes

B Parr, M Legg, F Alam - Sensors, 2022 - mdpi.com
This work investigates the performance of five depth cameras in relation to their potential for
grape yield estimation. The technologies used by these cameras include structured light …

Gras** point detection of randomly placed fruit cluster using adaptive morphology segmentation and principal component classification of multiple features

Q Zhang, G Gao - Ieee Access, 2019 - ieeexplore.ieee.org
Precise and rapid gras** point detection based on machine vision is one of the
challenging problems in automatic sorting of randomly placed fruit clusters by robot …

[HTML][HTML] Prioritizing robotic gras** of stacked fruit clusters based on stalk location in RGB-D images

Q Zhang, G Gao - Computers and electronics in agriculture, 2020 - Elsevier
Determining the priority order for gras** stacked fruit clusters such as those of grape and
lychee is a challenging problem in robotic manipulation based on RGB-D images. Gras** …

Three‐dimensional reconstruction of Vitis vinifera (L.) cvs Pinot Noir and Merlot grape bunch frameworks using a restricted reconstruction grammar based on the …

B **n, S Liu, M Whitty - Australian Journal of Grape and Wine …, 2020 - Wiley Online Library
Abstract Background and Aims Phenotypic traits of grape bunches are known to be related
with grapevine yield, wine flavour and sensitivity to disease. Aiming to solve a phenotypic …