Matthew Bardeen

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

T. Poblete, Samuel Ortega-Farías, M. Moreno et al. · Sensors · 2017 · 129 citations · Full text

Agriculture, Crop Sciences, Viticulture +17

Detection and Segmentation of Vine Canopy in Ultra-High Spatial Resolution RGB Imagery Obtained from Unmanned Aerial Vehicle (UAV): A Case Study in a Commercial Vineyard

Carlos Poblete-Echeverría, Guillermo F. Olmedo, Ben Ingram et al. · Remote Sensing · 2017 · 109 citations · Full text

Agriculture, Crop Sciences, Viticulture +17

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

D. Sepúlveda-Reyes, Ben Ingram, Matthew Bardeen et al. · Remote Sensing · 2016 · 90 citations · Full text

Agriculture, Crop Sciences, Plant Sciences +17

The optimization of success probability for software projects using genetic algorithms

Francisco Reyes, Narciso Cerpa, Alfredo Candia-Véjar et al. · Journal of Systems and Software · 2011 · 63 citations · Full text

Computing, Computer Science, Project Management +15

Evaluating logistic regression models to estimate software project outcomes

Narciso Cerpa, Matthew Bardeen, Barbara Kitchenham et al. · Information and Software Technology · 2010 · 53 citations · Full text

Computing, Computer Science, Project Management +13