Vineyard water status assessment using on-the-go thermal imaging and machine learning

Thermal imaging to detect spatial and temporal variation in the water status of grapevine (Vitis viniferaL.)

(2016) O. M. Grant et al.   JOURNAL OF HORTICULTURAL SCIENCE & BIOTECHNOLOGY

Electrical imaging of soil water availability to grapevine: a benchmark experiment of several machine-learning techniques

(2016) L. Brillante et al.   PRECISION AGRICULTURE

Data Mining and NIR Spectroscopy in Viticulture: Applications for Plant Phenotyping under Field Conditions

(2016) Salvador Gutiérrez et al.   SENSORS

Selecting Canopy Zones and Thresholding Approaches to Assess Grapevine Water Status by Using Aerial and Ground-Based Thermal Imaging

(2016) Daniel Sepúlveda-Reyes et al.   Remote Sensing

Ecophysiological Modeling of Grapevine Water Stress in Burgundy Terroirs by a Machine-Learning Approach

(2016) Luca Brillante et al.   Frontiers in Plant Science

Stomatal behavior of different grapevine cultivars in response to soil water status and air water vapor pressure deficit

(2016) Jorge A. Prieto et al.   OENO One

Vineyard irrigation scheduling based on airborne thermal imagery and water potential thresholds

(2015) J. Bellvert et al.   AUSTRALIAN JOURNAL OF GRAPE AND WINE RESEARCH

Investigating the use of gradient boosting machine, random forest and their ensemble to predict skin flavonoid content from berry physical–mechanical characteristics in wine grapes

(2015) Luca Brillante et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Support Vector Machine and Artificial Neural Network Models for the Classification of Grapevine Varieties Using a Portable NIR Spectrophotometer

(2015) Salvador Gutiérrez et al.   PLoS One

Plant-based sensing to monitor water stress: Applicability to commercial orchards

(2014) J.E. Fernández   AGRICULTURAL WATER MANAGEMENT

Seasonal evolution of crop water stress index in grapevine varieties determined with high-resolution remote sensing thermal imagery

(2014) J. Bellvert et al.   IRRIGATION SCIENCE

Crop water status estimation using thermography: multi-year model development using ground-based thermal images

(2014) Y. Cohen et al.   PRECISION AGRICULTURE

Validation of thermal indices for water status identification in grapevine

(2013) Alícia Pou et al.   AGRICULTURAL WATER MANAGEMENT

Thermography to explore plant–environment interactions

(2013) J. Miguel Costa et al.   JOURNAL OF EXPERIMENTAL BOTANY

Mapping crop water stress index in a ‘Pinot-noir’ vineyard: comparing ground measurements with thermal remote sensing imagery from an unmanned aerial vehicle

(2013) J. Bellvert et al.   PRECISION AGRICULTURE

Grapevine varieties exhibiting differences in stomatal response to water deficit

(2012) Joaquim M. Costa et al.   FUNCTIONAL PLANT BIOLOGY

Computational water stress indices obtained from thermal image analysis of grapevine canopies

(2012) Sigfredo Fuentes et al.   IRRIGATION SCIENCE

Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV)

(2012) Javier Baluja et al.   IRRIGATION SCIENCE

Non-destructive measurement of grapevine water potential using near infrared spectroscopy

(2010) R. DE BEI et al.   AUSTRALIAN JOURNAL OF GRAPE AND WINE RESEARCH

A model for the spatial prediction of water status in vines (Vitis vinifera L.) using high resolution ancillary information

(2010) C. Acevedo-Opazo et al.   PRECISION AGRICULTURE

Crop water stress mapping for site-specific irrigation by thermal imagery and artificial reference surfaces

(2010) M. Meron et al.   PRECISION AGRICULTURE

Some critical issues in environmental physiology of grapevines: future challenges and current limitations

(2009) H.R. SCHULTZ et al.   AUSTRALIAN JOURNAL OF GRAPE AND WINE RESEARCH

Grapevine leaf water potential based upon near infrared spectroscopy

(2009) Antonio Odair Santos et al.   SCIENTIA AGRICOLA

The potential of high spatial resolution information to define within-vineyard zones related to vine water status

(2008) C. Acevedo-Opazo et al.   PRECISION AGRICULTURE