Semi-Automatic Method for Early Detection of Xylella fastidiosa in Olive Trees Using UAV Multispectral Imagery and Geostatistical-Discriminant Analysis

Detection of Xylella fastidiosa infection symptoms with airborne multispectral and thermal imagery: Assessing bandset reduction performance from hyperspectral analysis

(2020) T. Poblete et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Xylella fastidiosa invasion of new countries in Europe, the Middle East and North Africa: Ranking the potential exposure scenarios

(2020) Michel Frem et al.   NeoBiota

A geostatistical fusion approach using UAV data for probabilistic estimation of Xylella fastidiosa subsp. pauca infection in olive trees

(2020) Annamaria Castrignanò et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A comparison between mixed support kriging and block cokriging for modelling and combining spatial data with different support

(2019) A. Castrignanò et al.   PRECISION AGRICULTURE

Monitoring the incidence of Xylella fastidiosa infection in olive orchards using ground-based evaluations, airborne imaging spectroscopy and Sentinel-2 time series through 3-D radiative transfer modelling

(2019) A. Hornero et al.   REMOTE SENSING OF ENVIRONMENT

Xylella fastidiosa in Olive in Apulia: Where We Stand

(2018) M. Saponari et al.   PHYTOPATHOLOGY

A Combined Approach of Sensor Data Fusion and Multivariate Geostatistics for Delineation of Homogeneous Zones in an Agricultural Field

(2017) Annamaria Castrignanò et al.   SENSORS

Assessing the time stability of soil moisture patterns using statistical and geostatistical approaches

(2016) Carla Landrum et al.   AGRICULTURAL WATER MANAGEMENT

Discrimination of tomato plants under different irrigation regimes: analysis of hyperspectral sensor data

(2014) M. Rinaldi et al.   ENVIRONMETRICS

An approach for assessing the effects of site-specific fertilization on crop growth and yield of durum wheat in organic agriculture

(2014) M. Diacono et al.   PRECISION AGRICULTURE

High-resolution airborne hyperspectral and thermal imagery for early detection of Verticillium wilt of olive using fluorescence, temperature and narrow-band spectral indices

(2013) R. Calderón et al.   REMOTE SENSING OF ENVIRONMENT

Potential applications of remote sensing in horticulture—A review

(2013) K. Usha et al.   SCIENTIA HORTICULTURAE

Spectral difference analysis and airborne imaging classification for citrus greening infected trees

(2012) Xiuhua Li et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Citrus greening disease detection using aerial hyperspectral and multispectral imaging techniques

(2012) Won Suk Lee   Journal of Applied Remote Sensing

The application of small unmanned aerial systems for precision agriculture: a review

(2012) Chunhua Zhang et al.   PRECISION AGRICULTURE

Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance

(2010) T. Rumpf et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Plant Disease Severity Estimated Visually, by Digital Photography and Image Analysis, and by Hyperspectral Imaging

(2010) C. H. Bock et al.   CRITICAL REVIEWS IN PLANT SCIENCES

The Distribution of the Kolmogorov–Smirnov, Cramer–von Mises, and Anderson–Darling Test Statistics for Exponential Populations with Estimated Parameters

(2008) Diane L. Evans et al.   COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION

Spatiotemporal Analysis of Spread of Infections byVerticillium dahliaePathotypes Within a High Tree Density Olive Orchard in Southern Spain

(2008) J. A. Navas-Cortés et al.   PHYTOPATHOLOGY

Citrus canker detection using hyperspectral reflectance imaging and PCA-based image classification method

(2008) Jianwei Qin et al.   Journal of Food Measurement and Characterization