[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 …

Smartphone applications targeting precision agriculture practices—A systematic review

J Mendes, TM Pinho, F Neves dos Santos, JJ Sousa… - Agronomy, 2020 - mdpi.com
Traditionally farmers have used their perceptual sensorial systems to diagnose and monitor
their crops health and needs. However, humans possess five basic perceptual systems with …

Automated grapevine flower detection and quantification method based on computer vision and deep learning from on-the-go imaging using a mobile sensing …

F Palacios, G Bueno, J Salido, MP Diago… - … and Electronics in …, 2020 - Elsevier
Grape yield forecasting is a valuable economic and quality issue for the grape and wine
industry. The number of flowers at bloom could be used as an early indicator towards crop …

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 …

Impact of climate change on grape berry ripening: An assessment of adaptation strategies for the Australian vineyard

SY Rogiers, DH Greer, Y Liu, T Baby… - Frontiers in Plant …, 2022 - frontiersin.org
Compressed vintages, high alcohol and low wine acidity are but a few repercussions of
climate change effects on Australian viticulture. While warm and cool growing regions may …

Vineyard yield estimation, prediction, and forecasting: A systematic literature review

A Barriguinha, M de Castro Neto, A Gil - Agronomy, 2021 - mdpi.com
Purpose—knowing in advance vineyard yield is a critical success factor so growers and
winemakers can achieve the best balance between vegetative and reproductive growth. It is …

A review of the issues, methods and perspectives for yield estimation, prediction and forecasting in viticulture

C Laurent, B Oger, JA Taylor, T Scholasch… - European Journal of …, 2021 - Elsevier
Grapevine yield is defined as the quantity of harvest, expressed as either grape mass or
wine volumeunits, which has been collected per surface unit are and per crop cycle. The …

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** …

Deep learning-based accurate grapevine inflorescence and flower quantification in unstructured vineyard images acquired using a mobile sensing platform

UF Rahim, T Utsumi, H Mineno - Computers and Electronics in Agriculture, 2022 - Elsevier
Early grapevine yield forecasting at satisfactory accuracy is among the major trends in
precision viticulture research. Conventionally, yield is estimated manually through …

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 …