Zobrazeno 1 - 10
of 20
pro vyhledávání: '"P J Zarco-Tejada"'
Autor:
María P. VELASCO-AMO, Antonio VICENT, Pablo J. ZARCO-TEJADA, Juan A. NAVAS-CORTÉS, Blanca B. LANDA
Publikováno v:
Phytopathologia Mediterranea, Vol 61, Iss 3 (2023)
Xylella fastidiosa is a major transboundary plant pest, causing severe socioeconomic impacts. Development of preventive strategies and methods for surveillance, early detection, monitoring, and accurate diagnosis of X. fastidiosa and its vectors, are
Externí odkaz:
https://doaj.org/article/e8a2cd9376a745a5995bc9e289623eda
Autor:
P. J. Zarco-Tejada, T. Poblete, C. Camino, V. Gonzalez-Dugo, R. Calderon, A. Hornero, R. Hernandez-Clemente, M. Román-Écija, M. P. Velasco-Amo, B. B. Landa, P. S. A. Beck, M. Saponari, D. Boscia, J. A. Navas-Cortes
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Spectral screening can be used to monitor plant health. Here via airborne hyperspectral imaging of tree species, the authors show that spectral pathways associated with vascular pathogens can be distinguished from those linked to abiotic stress provi
Externí odkaz:
https://doaj.org/article/0dbed469b1b848208d89347c71fd9375
Autor:
Rosa Mérida-García, Guozheng Liu, Sang He, Victoria Gonzalez-Dugo, Gabriel Dorado, Sergio Gálvez, Ignacio Solís, Pablo J Zarco-Tejada, Jochen C Reif, Pilar Hernandez
Publikováno v:
PLoS ONE, Vol 14, Iss 2, p e0211718 (2019)
Climatic conditions affect the growth, development and final crop production. As wheat is of paramount importance as a staple crop in the human diet, there is a growing need to study its abiotic stress adaptation through the performance of key breedi
Externí odkaz:
https://doaj.org/article/956aa84f06ce4767ba4dca771b43df38
Autor:
Giovanni Caruso, Pablo J Zarco-Tejada, Victoria González-Dugo, Marco Moriondo, Letizia Tozzini, Giacomo Palai, Giovanni Rallo, Alberto Hornero, Jacopo Primicerio, Riccardo Gucci
Publikováno v:
PLoS ONE, Vol 14, Iss 1, p e0210804 (2019)
The experiments were conducted in a fully-productive olive orchard (cv. Frantoio) at the experimental farm of University of Pisa at Venturina (Italy) in 2015 to assess the ability of an unmanned aerial vehicle (UAV) equipped with RGB-NIR cameras to e
Externí odkaz:
https://doaj.org/article/3265fde8e715476fbe8561b0defeb97f
Autor:
J. L. Pancorbo, M. Alonso-Ayuso, C. Camino, M. D. Raya-Sereno, P. J. Zarco-Tejada, I. Molina, J. L. Gabriel, M. Quemada
Publikováno v:
Precision Agriculture.
24 Pág.
Early prediction of crop production by remote sensing (RS) may help to plan the harvest and ensure food security. This study aims to improve the quantification of yield, grain protein concentration (GPC), and nitrogen (N) output in wint
Early prediction of crop production by remote sensing (RS) may help to plan the harvest and ensure food security. This study aims to improve the quantification of yield, grain protein concentration (GPC), and nitrogen (N) output in wint
Autor:
Antonio Monterroso-Checa, Alberto Redondo-Villa, Massimo Gasparini, Alberto Hornero, Bernardo Iraci, Rafael Martín-Talaverano, Juan Carlos Moreno-Escribano, Jesús Muñoz-Cádiz, José Ignacio Murillo-Fragero, Rafael Obregón-Romero, Noël Vargas, Simon J. Young, Raul Yuste, Pablo J. Zarco-Tejada
Publikováno v:
Applied Sciences, Vol 10, Iss 23, p 8659 (2020)
The main aim of this article is to present a heritage action protocol based on the application of photogrammetric and LiDAR acquisitions, a catalogue of flora and fauna, archeological research, and 3D virtualization for the integrated recovery of a r
Externí odkaz:
https://doaj.org/article/6c7aac66939f4251bf0836102b3075f2
Publikováno v:
Remote Sensing, Vol 7, Iss 10, Pp 13586-13605 (2015)
There is a growing need for developing high-throughput tools for crop phenotyping that would increase the rate of genetic improvement. In most cases, the indicators used for this purpose are related with canopy structure (often acquired with RGB came
Externí odkaz:
https://doaj.org/article/2ddb19ea014d41dd8a2878415eac0ab9
Publikováno v:
Remote Sensing, Vol 7, Iss 5, Pp 5584-5610 (2015)
Automatic methods for an early detection of plant diseases (i.e., visible symptoms at early stages of disease development) using remote sensing are critical for precision crop protection. Verticillium wilt (VW) of olive caused by Verticillium dahliae
Externí odkaz:
https://doaj.org/article/c1b1992856b5496a87cb52b65b265cee
Publikováno v:
Remote Sensing, Vol 7, Iss 4, Pp 4213-4232 (2015)
The development of reliable methods for the estimation of crown architecture parameters is a key issue for the quantitative evaluation of tree crop adaptation to environment conditions and/or growing system. In the present work, we developed and test
Externí odkaz:
https://doaj.org/article/7c71601a5b48428a805c34d969370722
Autor:
V. Gonzalez-Dugo, P. J. Zarco-Tejada
Publikováno v:
Irrigation Science.
Canopy temperature is generally accepted as an indirect but rapid, accurate, and large-scale indicator of crop water status and is, therefore, proposed to monitor irrigation needs. Crop Water Stress Index (CWSI) is the most widely used among the exis