I am an enthusiastic agronomist and scientist. I am specialized in Multivariate Data Analysis (chemometrics) and the implementation of new technologies the agri-food chain. My research interests focus on Visible, Near Infrared and Mid Infrared spectroscopy, as well as on hyperspectral imaging applications for precision agriculture, food quality assessment and food safety. Curious, enthusiastic and a good communicator, I am experienced in both leading scientific research and in the dissemination and transfer of scientific knowledge.
Wisdom begins in wonder.Socrates (470/469 - 399 BC)
Si tu diffères de moi mon frère, loin de me léser, tu m'enrichis.Antoine de St Exupéry (1900 - 1944)
He who is different from me does not impoverish me, he enriches me.
We are drowning in information but starved for knowledge.John Naisbitt (1929)
If you can't explain it simply, you don't understand it well enough.Albert Einstein (1879 - 1955)
The greatest enemy of knowledge is not ignorance; it is the illusion of knowledge.Stephen Hawking (1942-)
Areas of Research
Agronomy, Chemometrics, Viticulture, Spectroscopy, Precision Agriculture, Postharvest, Quality Assessment, Image Analysis (spectral and colour)
My research interests are interdisciplinary and comprise the application of Multivariate data analyses (chemometrics) to agronomical sciences.
Some pertinent examples of my work are: the adaptation of sampling methods to the calibration of spatial models in precision viticulture, (see references SC.6, SC 9, CP.19 on the publications list); the assessment and improvement of NIR model robustness for plant breeding purposes (SC.10, CP.23, CP.24, CP. 25); the development of multispectral indexes for spectral imaging (CP. 21, SC.3, SC.8); and the use UAV-based thermal imagery to monitor instantaneous variations in water status within a vineyard (SC. 11). Throughout these studies I used two kinds of data analyses: chemometrics (SC1. to SC.5, SC.7, SC.8, SC.10); and combinations of chemometrics and geostatistics (SC.6 , SC.9, SC. 11).
These lines of research resulted from the collaboration between the COMIC team at Irstea-Montpellier, specialized in spectroscopy, optic sensors and chemometrical methods; and several agronomical institutions, involved in plant physiology (EMR), crop modelling for viticulture (Montpellier SupAgro , INRA-Peach Rouge and Universidad Pública de Navarra), post-harvest and advanced agri-food technologies (LPF-TAGRALIA, Universidad Politécnica de Madrid), and the sugar beet sector (Institut Technique de la Betterave). Presently, I am integrated in the (UCD Spectral Imaging Research Group, where use spectral imaging to improve understanding of biological systems and develop algorithms for the analysis of spectral imaging data. Different spectral modalities (VIS, NIR, SWIR, Raman, ATR and FTIR) applied at various spatial scales are explored for this purpose.
I am currently working on the application of hyperspectral imaging for the detection of pathogenic microorganisms in food related surfaces. Find out more
SC.11_Viticulture: High-resolution UAV-based thermal imaging (drones)
Santesteban L.G., Di Gennaro S. F., Herrero-Langreo A., Miranda C., Royo J.B., Matese A. (2016) High-resolution UAV-based thermal imaging to estimate the instantaneous and seasonal variability of plant water status within a vineyard. Agricultural Water Management. 10.1016/j.agwat.2016.08.026.
SC.7_Food Contamination: NIR Imaging for the Detection of Allergens
Mishra P., Herrero-Langreo A., Barreiro P., Roger J. M., Diezma B., Gorretta N., Lleó L. (2015). Detection and Quantification of Peanut Traces in Wheat Flour through NIR Hyperspectral Imaging Spectroscopy Using Principal Component Analysis. Journal of Near Infrared Spectroscopy, 23, 0-0. 10.1255/jnirs.1141.
SC.6_Viticulture: Spatio-temporal Models
Herrero-Langreo A., Tisseyre B., Goutouly J.P., Scholasch T., Van Leeuwen C. Mapping Grapevine (Vitis vinifera L.) Water Status during the Season Using Carbon Isotope Ratio (δ13C) as Ancillary Data (2013). American Journal of Enology and Viticulture. 64 (3) 307-315. 10.5344/ajev.2013.12125.
SC.4_Postharvest: Combining non-destructive sensors
Herrero-Langreo A., Fern·ndez-Ahumada E., Roger J.M., PalagÛs B., LleÛ L. (2012). Combination of Optical and Non-destructive Mechanical Techniques for the Measurement of Maturity in Peach, Journal of Food Engineering, 108 (1), 150-157, 10.1016/j.jfoodeng.2011.07.004..
CP.24_Spectroscopy: Sensor Development
Herrero-Langreo A., Bendoula R., Gobrecht A., Ducanchez A., Guerrero-Castro P., Roger J.M., Prediction of Soluble Solids Content in Intact Sugar Beet: a Preliminary Study for a Fiber-optic Probe Sensor. Chimiometrie XVII, 17-20 Jan. 2016. Namur (Belgique)..
Herrero-Langreo A. , Tisseyre B. , Roger J.M. , Scholasch T. How to Sample to Calibrate a Spatial Model: Application for Modeling Vine Water Status. IX International Terroir Congress, 25 - 29 Jun. 2012. Dijon (France).
CP.13_Viticulture: RGB imaging
Herrero-Langreo A., Barreiro P., Diago M.P., Baluja J., Ochagavia H., Tardaguila J. Pixel Classification through Mahalanobis Distance for Identification of Grapevine Canopy Elements on RGB Images. International Association for Spectral Imaging Conference (IASIM-10), 18 - 19 Nov. 2010. Dublin (Ireland)..
Herrero-Langreo A., Fernandez-Ahumada E., Roger J.M., Palagos B., Lleó L. Prediction of Destructive Properties Using Descriptive Analysis of ND Measurements. VII Colloquium Chemiometricum Mediterraneum, 21 - 24 Jun. 2010. Granada (España)..
See my publications
During the last 15 years I have published in peer reviewed scientific journals. The main theme of my publications is the application of multivariate data analysis to precision agriculture, food quality assessment and food safety.
ETSIA-UPM. Rural Engineering Program. Public lecture held on June 25th 2010. Thesis title: "Spectral Machine Vision for Peach Ripeness Assessment " (in English). Thesis Supervisor: Lourdes Lléo García.
Agronomy Engineering Degree
• 1998 - 2005
Plant science and production; ETSIA-UPM. Exchange student in the Socrates-Erasmus Program at Ghent University, Belgium (2003-2004). Leonardo grant for training at EMR on the Raspberry Breeding program (May- July 2005).
University College Dublin • Jul 2017 - present
HyperMicroMacro project (ID 15/IA/2984). Responsible of project management, research activities, mentoring students and public engagement. Awarded Funding Grants: 93 565 euros of funding by the Spanish Program Torres Quevedo (2017); 186 000 euros funding from Internal UCD infrastructure call.
Freelance • Sept 2014 - Jun 2017
Collaboration with the research institutes LPF-TAGRALIA, UPN, UMR ITAP-Irstea (Cemagref) and the company Black Team.
UMR ITAP-Irstea (Cemagref) - Montpellier, France • Jan 2013 - June 2014
Responsible of Sugar Beet Roots Modelling at the AKER project. Development of a Near Infrared Spectroscopy model for the estimation of sugar content in sugar beet root for phenotyping purposes in plant breeding programs.
Post - Doctoral Position
Fruition Sciences-Montpellier Sup Agro - Montpellier, France • Febr 2011 - Oct 2012
Post-doctoral Researcher at the PILOTYPE project. Responsible of the adaptation and application of sampling methods for the spatio-temporal modelling of vine water status.
Occupation as Research Trainee
LPF-TAGRALIA, ETSIA-UPM. - Madrid, Spain • Oct 2005 - Dec 2010
Research Trainee at the ISAFRUIT project. Theme of research: Development of instrumental techniques for assessing fruits and vegetables quality. Research stays at EMR (United Kingdom) and Irstea-Montpellier.
- Good Communication Skills
- Team Oriented
- Attention to Detail & Quality
- Self-Learner and Self-Motivated
- International Scientific Network
AREAS OF EXPERTISE
- Multivariate Data Analysis (Modelling)
- Multidisciplinary Experience (Wide Range of Applications)
- Spectral Analysis (Visible, NIR, SWIR, MIR)
- Image Analysis
- Precision Agriculture
- Food Quality and Safety
Scientific writing, storytelling, poetry and story writer.
Proficiency Level (C2) •
PhD thesis written in English. Full professional proficiency. Working language since 2005.
Advanced Level (C1) •
Fluent in spoken and written language. Working language since 2010.
Multivariate Analysis Sofware
Being usually the link between experts on different disciplines, I have consistently been responsible of programming the mathematical solutions required for my research work. As a result, I am a confident user of MatLab, which I started using in 2005. Since then, I have developed my own toolboxes for sampling, modelling and hyperspectral image analysis.
Geographic Information Systems
Regarding Geographic Information Systems, I handled QGIS and 3DField for the visualization of spatial measurements and estimations during my postdoctoral experience at the company Fruition Sciences.
I am familiar with image processing and analysis sofware ImageJ, which I used as a didactic tool for introducing students to image analysis methods.
I am also a competent user of bibliography managers, particularly Endnote and Mendeley as well as MS Office tools (Excel, including macro programming, Word and Power Point), and Paint Shop Pro. I have some brief experience on database enquiring with SQL (3 months, during experimental work) and I am currently following training on the visual analytics platform Tableau (Coursera, 2021).
Send me a message and I will get in touch with you shortly !