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Deep learning in agriculture: A survey 

Kamilaris, Andreas; Prenafeta-Boldú, Francesc X. (Computers and Electronics in Agriculture, 2018-02-22)
Deep learning constitutes a recent, modern technique for image processing and data analysis, with promising results and large potential. As deep learning has been successfully applied in various domains, ...
 

The rise of blockchain technology in agriculture and food supply chains 

Kamilaris, Andreas; Fonts, Agusti; Prenafeta-Boldύ, Francesc X. (Trends in Food Science and Technology, 2019-07-30)
Blockchain is an emerging digital technology allowing ubiquitous financial transactions among distributed untrusted parties, without the need of intermediaries such as banks. This article examines the ...
 

Emerging thermal imaging techniques for seed quality evaluation: Principles and applications 

ElMasry, Gamal; ElGamal, Ramadan; Mandour, Nasser; Gou, Pere; Al-Rejaie, Salim; Belin, Etienne; Rousseau, David (Food Research International, 2020-01-22)
Due to the massive progress occurred in the past few decades in imaging, electronics and computer science, infrared thermal imaging technique has witnessed numerous technological advancement and smart ...
 

Effectiveness of specularity removal from hyperspectral images on the quality of spectral signatures of food products 

ElMasry, Gamal; Gou, Pere; Al-Rejaie, Salim (Journal of Food Engineering, 2020-05-24)
Specularity or highlight problem exists widely in hyperspectral images, provokes reflectance deviation from its true value, and can hide major defects in food objects or detecting spurious false defects ...
 

Feasibility study of smartphone-based Near Infrared Spectroscopy (NIRS) for salted minced meat composition diagnostics at different temperatures 

Kartakoullis, Andreas; Comaposada, Josep; Cruz-Carrión, Alvaro; Serra, Xavier; Gou, Pere (Food Chemistry, 2018-11-10)
This research work evaluates the feasibility of a smartphone-based spectrometer (740–1070 nm) for salted minced meat composition diagnostics at industrial scale. A commercially available smartphone-based ...
 

A review of the use of convolutional neural networks in agriculture 

Kamilaris, A.; Prenafeta-Boldú, F. X. (Journal of Agricultural Science, 2018-06-25)
Deep learning (DL) constitutes a modern technique for image processing, with large potential. Having been successfully applied in various areas, it has recently also entered the domain of agriculture. ...
 

An improved assembly and annotation of the melon (Cucumis melo L.) reference genome 

Ruggieri, Valentino; Alexiou, Konstantinos G.; Morata, Jordi; Argyris, Jason; Pujol, Marta; Yano, Ryoichi; Nonaka, Satoko; Ezura, Hiroshi; Latrasse, David; Boualem, Adnane; Benhamed, Moussa; Bendahmane, Abdelhhafid; Aiese Cigliano, Riccardo; Sanseverino, Walter; Puigdomènech, Pere; Casacuberta, Josep M.; Garcia-Mas, Jordi (Scientific Reports, 2018-05-24)
We report an improved assembly (v3.6.1) of the melon (Cucumis melo L.) genome and a new genome annotation (v4.0). The optical mapping approach allowed correcting the order and the orientation of 21 ...
 

Variations in association of nasal microbiota with virulent and non-virulent strains of Glaesserella (Haemophilus) parasuis in weaning piglets 

Mahmmod, Yasser S.; Correa-Fiz, Florencia; Aragon, Virginia (Veterinary Research, 2020-02-03)
Glaesserella (formerly Haemophilus) parasuis causes Glässer's disease, which results in high economic loss in the swine industry. To understand the polymicrobial interactions of G. parasuis and the nasal ...
 

Exploiting Genetic and Genomic Resources to Enhance Heat-Tolerance in Tomatoes 

Ruggieri, Valentino; Calafiore, Roberta; Schettini, Carlo; Rigano, Maria Manuela; Olivieri, Fabrizio; Frusciante, Luigi; Barone, Amalia (Agronomy, 2019-01-08)
High temperature is one of the most detrimental abiotic stresses in tomatoes. Many studies highlighted that even small increases in temperature can alter the plant reproductive system, causing ...
 

Genetic diversity and selection signatures of the beef ‘Charolais de Cuba’ breed 

Rodriguez-Valera, Yoel; Renand, Gilles; Naves, Michel; Fonseca-Jiménez, Yidix; Moreno-Probance, Teresa Inés; Ramos-Onsins, Sebastian; Rocha, Dominique; Ramayo-Caldas, Yuliaxis (Scientific Reports, 2018-07-20)
In this study, we used BovineSNP50 Genotyping BeadChip data to estimate the structure, putative ancestral origin as well as to identify regions with selective sweeps that may have had an important role ...
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AuthorRamayo-Caldas, Yuliaxis (10)Gou, Pere (4)Quintanilla, Raquel (4)Al-Rejaie, Salim (3)Ballester, Maria (3)ElMasry, Gamal (3)González-Prendes, Rayner (3)Kamilaris, Andreas (3)Renand, Gilles (3)Ruggieri, Valentino (3)... Show moreSubject619 (8)636 (6)663/664 (5)63 (4)59 (2)633 - Cultius i produccions (2)502 (1)504 (1)57 (1)575 (1)... Show moreAreaProducció Animal (12)Agrosistemes i Medi Ambient (6)Indústries Alimentàries (5)Producció Vegetal (4)ProgramGenètica i Millora Animal (10)Gestió Integral de Residus Orgànics (6)Tecnologia Alimentària (5)Genòmica i Biotecnologia (4)Sanitat Animal (2)Issue Date2020 (13)2019 (6)2018 (6)Grant agreement number
EC/H2020/665919/EU/Opening Sphere UAB-CEI to PostDoctoral Fellows/P-SPHERE (25)
MINECO/ /SEV-2015-0533/ES/ / (4)MINECO/Programa Estatal de fomento de la investigación científica y técnica de excelencia/SEV-2015-0533/ES/ / (3)MINECO/Programa Estatal de I+D+I orientada a los retos de la sociedad/AGL2015-64625-C2-1-R/ES/DISECCION GENETICA DE DOS CARACTERES DE INTERES AGRONOMICO EN MELON: RESISTENCIA A CUCUMBER MOSAIC VIRUS Y MADURACION CLIMATERICA DE FRUTO/RESMELORIP (3)MINECO/Programa Estatal de promoción del talento y su empleabilidad en I+D+I/RYC‑2013‑12573/ES/ / (3)MINECO/Programa Estatal de I+D+I orientada a los retos de la sociedad/AGL2013-48742-C2-1-R/ES/FISIOLOGIA GENOMICA DEL DEPOSITO DE GRASA INTRAMUSCULAR EN PORCINO/ (2)MINECO/Programa Estatal de I+D+I orientada a los retos de la sociedad/AGL2013-48742-C2-2-R/ES/FISIOLOGIA GENOMICA DEL DEPOSITO DE GRASA INTRAMUSCULAR EN PORCINO/ (2)MINECO/Programa Estatal de I+D+I orientada a los retos de la sociedad/AGL2016-75432-R/ES/DETERMINACION GENETICA DE LA CAPACIDAD INMUNOLOGICA EN PORCINO: IDENTIFICACION DE VARIANTES GENETICAS FUNCIONALES PARA LA IMPLEMENTACION DE SELECCION GENOMICA/ (2)EC/H2020/633531/EU/Adapting the feed, the animal and the feeding techniques to improve the efficiency and sustainability of monogastric livestock production systems/Feed-a-Gene (1)EC/H2020/679796/EU/A holistic multi-actor approach towards the design of new tomato varieties and management practices to improve yield and quality in the face of climate change/TomGem (1)... Show moreAvailabilityOpen access (17)Embargoed access (8)Document versionPublished version (15)Accepted version (10)


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