[HTML][HTML] Smart applications and digital technologies in viticulture: A review

J Tardaguila, M Stoll, S Gutiérrez, T Proffitt… - Smart Agricultural …, 2021 - Elsevier
It is important to continuously monitor the long-term impact of viticultural management
practices and assess opportunities for improving the environmental footprint of vineyard …

Computer vision and deep learning for precision viticulture

L Mohimont, F Alin, M Rondeau, N Gaveau… - Agronomy, 2022 - mdpi.com
During the last decades, researchers have developed novel computing methods to help
viticulturists solve their problems, primarily those linked to yield estimation of their crops …

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 …

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 …

Grape berry detection and size measurement based on edge image processing and geometric morphology

L Luo, W Liu, Q Lu, J Wang, W Wen, D Yan, Y Tang - Machines, 2021 - mdpi.com
Counting grape berries and measuring their size can provide accurate data for robot picking
behavior decision-making, yield estimation, and quality evaluation. When grapes are picked …

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

S Liu, X Zeng, M Whitty - Computers and Electronics in Agriculture, 2020 - Elsevier
Counting the number of berries per bunch is a key component of many yield estimation
processes but is exceptionally tedious for farmers to complete. Recent work into image …

Growth performance and carbon partitioning of grapevine Tempranillo clones under simulated climate change scenarios: elevated CO2 and temperature

M Arrizabalaga-Arriazu, F Morales, JJ Irigoyen… - Journal of Plant …, 2020 - Elsevier
Atmospheric CO 2 levels and global temperatures are expected to rise in the next decades,
and viticulture must face these changes. Within this context, exploiting the intra-varietal …

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 …

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 …

A new method for assessment of bunch compactness using automated image analysis

S Cubero, MP Diago, J Blasco… - Australian Journal of …, 2015 - Wiley Online Library
Abstract Background and Aims Bunch compactness is a key feature determining grape and
wine composition because tight bunches show a less homogeneous ripening, and are …