Performance evaluation of urban turf irrigation smartphone app. - Kati W. Migliaccio; K. T. Morgan; Clyde W. Fraisse; George Vellidis; J. H. Andreis (Comput. Electron. Agric., 2015)

Development and assessment of a smartphone application for irrigation scheduling in cotton. - George Vellidis; Vasileios Liakos; J. H. Andreis; C. D. Perry; W. M. Porter; E. M. Barnes; K. T. Morgan; Clyde W. Fraisse; Kati W. Migliaccio (Comput. Electron. Agric., 2016)

Factorial kriging analysis leverages soil physical properties and exhaustive data to predict distinguished zones of hydraulic properties. - James Bevington; Elia Scudiero; Pietro Teatini; George Vellidis; Francesco Morari (Comput. Electron. Agric., 2019)

Field Scale Assessment of the TsHARP Technique for Thermal Sharpening of MODIS Satellite Images Using VENµS and Sentinel-2-Derived NDVI. - Lorena Nunes Lacerda; Yafit Cohen; John Snider; Hanna Huryna; Vasileios Liakos; George Vellidis (Remote. Sens., 2021)

Using UAV and Multispectral Images to Estimate Peanut Maturity Variability on Irrigated and Rainfed Fields Applying Linear Models and Artificial Neural Networks. - Adão Felipe dos Santos; Lorena Nunes Lacerda; Chiara Rossi; Leticia de A. Moreno; Mailson Freire de Oliveira; Cristiane Pilon; Rouverson Pereira da Silva; George Vellidis (Remote. Sens., 2022)

Decoding time: Unraveling the power of N-BEATS and N-HiTS vs. LSTM for accurate soil moisture prediction. - Lisa Umutoni; Vidya Samadi; George Vellidis; Charles Privette III; Jose Payero; Bulent Koc (Comput. Electron. Agric., 2025)