Artificial Neural Network to Predict Vine Water Status Spatial Variability Using Multispectral Information Obtained from an Unmanned Aerial Vehicle (UAV)

Hyperspectral-based predictive modelling of grapevine water status in the Portuguese Douro wine region

(2017) Isabel Pôças et al.   International Journal of Applied Earth Observation and Geoinformation

Assessment of beer quality based on foamability and chemical composition using computer vision algorithms, near infrared spectroscopy and machine learning algorithms

(2017) Claudia Gonzalez Viejo et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

Irrigation level and time of imposition impact vine physiology, yield components, fruit composition and wine quality of Ontario Chardonnay

(2017) Gabriel Balint et al.   SCIENTIA HORTICULTURAE

Prediction of kiwifruit firmness using fruit mineral nutrient concentration by artificial neural network (ANN) and multiple linear regressions (MLR)

(2017) Ali Mohammadi Torkashvand et al.   Journal of Integrative Agriculture

Adaptive Estimation of Crop Water Stress in Nectarine and Peach Orchards Using High-Resolution Imagery from an Unmanned Aerial Vehicle (UAV)

(2017) Suyoung Park et al.   Remote Sensing

Yield and Water Productivity Responses to Irrigation Cut-off Strategies after Fruit Set Using Stem Water Potential Thresholds in a Super-High Density Olive Orchard

(2017) Luis E. Ahumada-Orellana et al.   Frontiers in Plant Science

Evaluation of neural network modeling to predict non-water-stressed leaf temperature in wine grape for calculation of crop water stress index

(2016) B.A. King et al.   AGRICULTURAL WATER MANAGEMENT

Simulating canopy temperature for modelling heat stress in cereals

(2016) H. Webber et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Development of a Low-Cost, Lightweight Hyperspectral Imaging System Based on a Polygon Mirror and Compact Spectrometers

(2016) Kuniaki Uto et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Remote sensing platforms and sensors: A survey

(2016) Charles Toth et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

FORETo: New software for reference evapotranspiration forecasting

(2016) Rocío Ballesteros et al.   JOURNAL OF ARID ENVIRONMENTS

Improving berry and wine quality attributes and vineyard economic efficiency by long-term deficit irrigation practices under semiarid conditions

(2016) Pascual Romero et al.   SCIENTIA HORTICULTURAE

Estimation of Energy Balance Components over a Drip-Irrigated Olive Orchard Using Thermal and Multispectral Cameras Placed on a Helicopter-Based Unmanned Aerial Vehicle (UAV)

(2016) Samuel Ortega-Farías et al.   Remote Sensing

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

Methodology for High-Throughput Field Phenotyping of Canopy Temperature Using Airborne Thermography

(2016) David M. Deery et al.   Frontiers in Plant Science

Combining leaf physiology, hyperspectral imaging and partial least squares-regression (PLS-R) for grapevine water status assessment

(2015) Tal Rapaport et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Data-driven input variable selection for rainfall–runoff modeling using binary-coded particle swarm optimization and Extreme Learning Machines

(2015) Riccardo Taormina et al.   JOURNAL OF HYDROLOGY

Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize

(2015) M Zaman-Allah et al.   Plant Methods

Predicting Grapevine Water Status Based on Hyperspectral Reflectance Vegetation Indices

(2015) Isabel Pôças et al.   Remote Sensing

Hyperspectral and Thermal Imaging of Oilseed Rape (Brassica napus) Response to Fungal Species of the Genus Alternaria

(2015) Piotr Baranowski et al.   PLoS One

Detecting crop water status in mature olive groves using vegetation spectral measurements

(2014) Giovanni Rallo et al.   BIOSYSTEMS ENGINEERING

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

Unmanned aerial systems for photogrammetry and remote sensing: A review

(2014) I. Colomina et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Applications of georeferenced high-resolution images obtained with unmanned aerial vehicles. Part I: Description of image acquisition and processing

(2014) R. Ballesteros et al.   PRECISION AGRICULTURE

Evaluation of single and dual crop coefficients over a drip-irrigated Merlot vineyard (Vitis vinifera L.) using combined measurements of sap flow sensors and an eddy covariance system

(2013) C.A. Poblete-Echeverría et al.   AUSTRALIAN JOURNAL OF GRAPE AND WINE RESEARCH

Assessing gas exchange, sap flow and water relations using tree canopy spectral reflectance indices in irrigated and rainfed Olea europaea L.

(2013) Giovanni Marino et al.   ENVIRONMENTAL AND EXPERIMENTAL BOTANY

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

A PRI-based water stress index combining structural and chlorophyll effects: Assessment using diurnal narrow-band airborne imagery and the CWSI thermal index

(2013) P.J. Zarco-Tejada et al.   REMOTE SENSING OF ENVIRONMENT

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

(2012) Javier Baluja et al.   IRRIGATION SCIENCE

Monitoring water stress and fruit quality in an orange orchard under regulated deficit irrigation using narrow-band structural and physiological remote sensing indices

(2012) S. Stagakis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A review of the methods available for estimating soil moisture and its implications for water resource management

(2012) Pariva Dobriyal et al.   JOURNAL OF HYDROLOGY

Comparison of artificial neural network (ANN) and partial least squares (PLS) regression models for predicting respiratory ventilation: an exploratory study

(2011) Ming-I Brandon Lin et al.   EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY

A refined index of model performance

(2011) Cort J. Willmott et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Multispectral Remote Sensing from Unmanned Aircraft: Image Processing Workflows and Applications for Rangeland Environments

(2011) Andrea S. Laliberte et al.   Remote Sensing

Assessing vineyard water status using the reflectance based Water Index

(2010) Lydia Serrano et al.   AGRICULTURE ECOSYSTEMS & ENVIRONMENT

Neural-network model for estimating leaf chlorophyll concentration in rice under stress from heavy metals using four spectral indices

(2010) Meiling Liu et al.   BIOSYSTEMS ENGINEERING

A hybrid model coupled with singular spectrum analysis for daily rainfall prediction

(2010) K. W. Chau et al.   JOURNAL OF HYDROINFORMATICS

Prediction of rainfall time series using modular artificial neural networks coupled with data-preprocessing techniques

(2010) C.L. Wu et al.   JOURNAL OF HYDROLOGY

Sources of variability in canopy reflectance and the convergent properties of plants

(2010) S. V. Ollinger   NEW PHYTOLOGIST

Texture and Scale in Object-Based Analysis of Subdecimeter Resolution Unmanned Aerial Vehicle (UAV) Imagery

(2009) A.S. Laliberte et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle

(2009) J. Berni et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Special issue on evapotranspiration measurement and modeling

(2009) Samuel Ortega-Farias et al.   IRRIGATION SCIENCE

Detecting water stress effects on fruit quality in orchards with time-series PRI airborne imagery

(2009) L. Suárez et al.   REMOTE SENSING OF ENVIRONMENT

Spectral prediction of Phytophthora infestans infection on tomatoes using artificial neural network (ANN)

(2008) X. Wang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

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