Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ramón Navarra-Mestre"'
Autor:
Arantza Bereciartua-Pérez, María Monzón, Daniel Múgica, Greta De Both, Jeroen Baert, Brittany Hedges, Nicole Fox, Jone Echazarra, Ramón Navarra-Mestre
Publikováno v:
Artificial Intelligence in Agriculture, Vol 13, Iss , Pp 18-31 (2024)
Estimation of damage in plants is a key issue for crop protection. Currently, experts in the field manually assess the plots. This is a time-consuming task that can be automated thanks to the latest technology in computer vision (CV). The use of imag
Externí odkaz:
https://doaj.org/article/4ebf665d342643e98dcdff5727dbd928
Autor:
Laura Gómez-Zamanillo, Arantza Bereciartua-Pérez, Artzai Picón, Liliana Parra, Marian Oldenbuerger, Ramón Navarra-Mestre, Christian Klukas, Till Eggers, Jone Echazarra
Publikováno v:
Smart Agricultural Technology, Vol 5, Iss , Pp 100243- (2023)
Greenhouse plant assessment is key part in the process of developing and testing new herbicides as it serves to analyze the response of the species to those different products and doses in a controlled way. With that purpose, trials are carried out i
Externí odkaz:
https://doaj.org/article/326a636fbc49414789b6a28b912cdad8
Autor:
Arantza Bereciartua-Pérez, Laura Gómez, Artzai Picón, Ramón Navarra-Mestre, Christian Klukas, Till Eggers
Publikováno v:
Smart Agricultural Technology, Vol 3, Iss , Pp 100125- (2023)
The use of digital technologies and artificial intelligence techniques for the automation of some visual assessment processes in agriculture is currently a reality. Image-based, and recently deep learning-based systems are being used in several appli
Externí odkaz:
https://doaj.org/article/de3f01d16d4d4ef39c4f3f9b1bd74a72
Autor:
Arantza Bereciartua-Pérez, Laura Gómez, Artzai Picón, Ramón Navarra-Mestre, Christian Klukas, Till Eggers
Publikováno v:
SSRN Electronic Journal.
The use of digital technologies and artificial intelligence techniques for the automation of some visual assessment processes in agriculture is currently a reality. Image-based, and recently deep learning-based systems are being used in several appli
Autor:
Arantza Bereciartua-Pérez, Laura Gómez, Artzai Picón, Ramón Navarra-Mestre, Christian Klukas, Till Eggers
Publikováno v:
Computers and Electronics in Agriculture. 197:106933
Digitalization and automation of assessments in field trials are established practice for farming product development. The use of image-based methods has provided good results in different applications. Although these models can leverage some problem
Autor:
Artzai Picon, Arantza Bereciartua-Perez, Itziar Eguskiza, Javier Romero-Rodriguez, Carlos Javier Jimenez-Ruiz, Till Eggers, Christian Klukas, Ramon Navarra-Mestre
Publikováno v:
Artificial Intelligence in Agriculture, Vol 6, Iss , Pp 199-210 (2022)
Performing accurate and automated semantic segmentation of vegetation is a first algorithmic step towards more complex models that can extract accurate biological information on crop health, weed presence and phenological state, among others. Traditi
Externí odkaz:
https://doaj.org/article/24f8f33bb0b2469f93bb1c8982ce1044
Autor:
Itziar Egusquiza, Artzai Picon, Unai Irusta, Arantza Bereciartua-Perez, Till Eggers, Christian Klukas, Elisabete Aramendi, Ramon Navarra-Mestre
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Plant fungal diseases are one of the most important causes of crop yield losses. Therefore, plant disease identification algorithms have been seen as a useful tool to detect them at early stages to mitigate their effects. Although deep-learning based
Externí odkaz:
https://doaj.org/article/47227d6cff2c4893a9be2ac32791bfc9