Tomas Poblete Cisterna

Discriminating Xylella fastidiosa from Verticillium dahliae infections in olive trees using thermal- and hyperspectral-based plant traits

T Poblete, JA Navas-Cortes, C Camino, R Calderon, A Hornero, V Gonzalez-Dugo, BB Landa, PJ Zarco-Tejada

Journal article  |  2021  |  ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Globally, olive (Olea europaea L.) productivity is threatened by plant pathogens, particularly the fungus Verticillium dahliae (Vd..

Assessing wine grape quality parameters using plant traits derived from physical model inversion of hyperspectral imagery

L Suarez, P Zhang, J Sun, Y Wang, T Poblete, A Hornero, PJ Zarco-Tejada

Journal article  |  2021  |  AGRICULTURAL AND FOREST METEOROLOGY

Together with ensuring a stable yield, improving grape composition and aroma is the main goal of wine grape production management ..

Using imagery and computer vision as remote monitoring methods for early detection of respiratory disease in pigs

Maria Jorquera-Chavez, Sigfredo Fuentes, Frank R Dunshea, Robyn D Warner, Tomas Poblete, Ranjith R Unnithan, Rebecca S Morrison, Ellen C Jongman

Journal article  |  2021  |  COMPUTERS AND ELECTRONICS IN AGRICULTURE

Respiratory diseases in pigs impact the wellbeing of animals and increase the cost of production. One of the most appropriate appr..

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

T Poblete, C Camino, PSA Beck, A Hornero, T Kattenborn, M Saponari, D Boscia, JA Navas-Cortes, PJ Zarco-Tejada

Journal article  |  2020  |  ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Xylella fastidiosa (Xf) is a harmful plant pathogenic bacterium, able to infect over 500 plant species worldwide. Successful eradi..

Remotely Sensed Imagery for Early Detection of Respiratory Disease in Pigs: A Pilot Study

Maria Jorquera-Chavez, Sigfredo Fuentes, Frank R Dunshea, Robyn D Warner, Tomas Poblete, Rebecca S Morrison, Ellen C Jongman

Journal article  |  2020  |  ANIMALS

Respiratory diseases are a major problem in the pig industry worldwide. Due to the impact of these diseases, the early identificat..

Modelling and Validation of Computer Vision Techniques to Assess Heart Rate, Eye Temperature, Ear-Base Temperature and Respiration Rate in Cattle

Maria Jorquera-Chavez, Sigfredo Fuentes, Frank R Dunshea, Robyn D Warner, Tomas Poblete, Ellen C Jongman

Journal article  |  2019  |  ANIMALS

Precision livestock farming has emerged with the aim of providing detailed information to detect and reduce problems related to an..

Automatic Coregistration Algorithm to Remove Canopy Shaded Pixels in UAV-Borne Thermal Images to Improve the Estimation of Crop Water Stress Index of a Drip-Irrigated Cabernet Sauvignon Vineyard

Tomas Poblete, Samuel Ortega-Farias, Dongryeol Ryu

Journal article  |  2018  |  SENSORS

Water stress caused by water scarcity has a negative impact on the wine industry. Several strategies have been implemented for opt..

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

Tomas Poblete, Samuel Ortega-Farias, Miguel Angel Moreno, Matthew Bardeen

Journal article  |  2017  |  SENSORS

Water stress, which affects yield and wine quality, is often evaluated using the midday stem water potential (Ψstem). However, thi..

Uncooled Thermal Camera Calibration and Optimization of the Photogrammetry Process for UAV Applications in Agriculture

Krishna Ribeiro-Gomes, David Hernandez-Lopez, Jose F Ortega, Rocio Ballesteros, Tomas Poblete, Miguel A Moreno

Journal article  |  2017  |  SENSORS

The acquisition, processing, and interpretation of thermal images from unmanned aerial vehicles (UAVs) is becoming a useful source..

CALIBRACIÓN DE CÁMARAS TÉRMICAS NO REFRIGERADAS PARA OBTENCIÓN DE TEMPERATURAS DE CULTIVOS

K RIBEIRO GOMES, D HERNÁNDEZ-LÓPEZ, JF ORTEGA, R BALLESTEROS, T POBLETE, MA MORENO

Conference Proceedings  |  2017  |  XXXV Congreso Nacional de Riegos