Ana Herrero-Langreo

Ana Herrero-Langreo
University College Dublin | UCD · School of Biosystems Engineering

PhD

About

67
Publications
12,212
Reads
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922
Citations
Citations since 2017
21 Research Items
719 Citations
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2017201820192020202120222023020406080100120140
2017201820192020202120222023020406080100120140
Introduction
I am specialized in data analysis and interpretation for agricultural research, particularly for the assessment of plant physiological processes (fruit ripening and plant water stress), phenotyping and precision agriculture. As a data analyst, I have a broad knowledge in multivariate modelling methods (chemometrics), being specially devoted to NIR spectroscopy and hyperspectral imaging, sampling and spatio-temporal models for precision agriculture.
Additional affiliations
July 2017 - present
University College Dublin
Position
  • Researcher
July 2014 - present
Wisdom begins in wonder
Position
  • www.anaherrerolangreo.com
January 2013 - July 2014
French National Institute for Agriculture, Food, and Environment (INRAE)
Position
  • Researcher
Description
  • Resposible 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.

Publications

Publications (67)
Article
Full-text available
This work investigates non-contact reflectance spectral imaging techniques, i.e. microscopic Fourier transform infrared (FTIR) imaging, macroscopic visible-near infrared (VNIR), and shortwave infrared (SWIR) spectral imaging, for the identification of bacteria on stainless steel. Spectral images of two Gram-positive (GP) bacteria (Bacillus subtilis...
Article
Full-text available
The objective of this study is to compare portable visible spectral imaging (443–726 nm) and conventional RGB imaging for detecting products stored beyond the recommended “use-by” date and predicting the number of days poultry products have been stored. Packages of chicken thighs with skin on were stored at 4 °C and imaged daily in pack through pla...
Article
Full-text available
This work investigates the application of reflectance Fourier transform infrared (FTIR) microscopic imaging for rapid, and non-invasive detection and classification between Bacillus subtilis and Escherichia coli cell suspensions dried onto metallic substrates (stainless steel (STS) and aluminium (Al) slides) in the optical density (OD) concentratio...
Article
Full-text available
The addition of plastic substances in teabags is of increasing concern for conscious consumers due to the harmful effects on the environment and the potential threats to human health. This work introduces an innovative and cost-effective approach to detect and quantify plastic substances in teabags by applying near infrared hyperspectral imaging (9...
Article
Full-text available
Deep learning (DL) has recently achieved considerable successes in a wide range of applications, such as speech recognition, machine translation and visual recognition. This tutorial provides guidelines and useful strategies to apply DL techniques to address pixel-wise classification of spectral images. A one-dimensional convolutional neural networ...
Book
he aim of our study is to examine the potential of SWIR hyperspectral imaging to early detect apple scab infection. Close range hyperspectral images of healthy and infected leaves were acquired daily under laboratory conditions from 2 days to 11 days after inoculation using a push-broom SWIR camera. A PLS-DA classification model was built at the ad...
Article
Full-text available
Sugar beet is the second biggest world contributor to sugar production and the only one grown in Europe. One of the main limitations for its competitiveness is the lack of effective tools for assessing sugar content in unprocessed sugar beet roots, especially in breeding programs. In this context, a dedicated near infrared (NIR) fiber-optic probe b...
Article
HIGHLIGHTS • How to evaluate model predictions from hyperspectral images? • We can use the spatial structure of prediction maps. • Spatially structured variance relates to the slope of the model. • Non spatially structured variance relates to the random error. ABSTRACT Applying a calibration model onto hyperspectral (HS) images is of great int...
Article
Full-text available
Applications of hyperspectral imaging (HSI) to the quantitative and qualitative measurement of samples have grown widely in recent years, due mainly to the improved performance and lower cost of imaging spectroscopy instrumentation. Data sampling is a crucial yet often overlooked step in hyperspectral image analysis, which impacts the subsequent re...
Article
Open access [https://www.impopen.com/jsi-abstract/I08_a3]. Milk is a complex emulsion of fat and water with proteins (such as caseins and whey), vitamins, minerals and lactose dissolved within. The purpose of this study is to automatically distinguish different dairy residues on substrates commonly used in the food industry using hyperspectral ima...
Article
Full-text available
Plant water status is one of the main factors affecting yield and quality in viticulture. Nevertheless, it is generally difficult to characterize it with enough precision for management purposes. In addition to its temporal variation, related to climate conditions, it has been shown that it is also spatially variable within the vineyard. In practic...
Article
Pigments Non-destructive Imaging spectroscopy The increasing need to develop a rapid understanding of plant functional dynamics has led to the employment of sensor technology for non-destructive assessment of plants. Hyperspectral Imaging (HSI) being an integration of two modalities, imaging and point spectroscopy, is nowadays emerging as a potenti...
Conference Paper
Full-text available
Food adulteration is an issue of growing concern, specially delicate throughout early stages of food processing, regarding the control of the original ingredients included in the process and crossed contaminations. In food industry the composition of a powder pure substance can be compromised by two main causes: a) casual contaminations with traces...
Article
Thermal imaging can become a readily usable tool for crop agricultural water management, since it allows a quick determination of canopy surface temperature that, as linked to transpiration, can give an idea of crop water status. In the last years, the resolution of thermal imaging systems has increased and its weight decreased, fostering their imp...
Conference Paper
Full-text available
Introduction: Applying a calibration model onto hyperspectral (HS) images is of great interest because it produces images of chemical or physical properties. Usually, the main difficulty of this process is that such models need to be calibrated or transferred, and so requires both image spectra and corresponding response values. Furthermore, these...
Conference Paper
Full-text available
Sugar beet is the only crop grown in Europe for sugar production. It the second biggest world contributor to this product and a key crop to assure meeting world's sugar demand, expected to increase further in the next decade due to developments in agro-ethanol and world sugar consumption. Great breeding efforts are recently being made to preserve a...
Chapter
In this chapter, advances in the most important imaging techniques that can be applied to fruit and vegetable inspection are addressed. The review begins with the external inspection, dominated by the use of computer vision, which analyses morphological features and surface attributes. Then, inspection goes through the pericarp and reaches the clos...
Article
Full-text available
The feasibility of near infrared hyperspectral imaging (IHS) for the detection of peanut traces (up to 0.01% w / w) is studied in this paper. Principal component analysis (PCA) was performed on a set of spectra extracted from hyperspectral images made on flour samples contaminated with traces of peanut. The main components extracted allowed, after...
Conference Paper
Sugar beet is the second biggest world contributor to sugar production and the only one grown in Europe. Great efforts are currently being made to preserve and enhance its competitiveness. Within this context, one of the main bottlenecks identi᠀ꠄed is the lack of effective tools for assessing sugar content in unprocessed sugar beet roots. In the su...
Article
Full-text available
In current industrial environments there is an increasing need for practical and inexpensive quality control systems to detect the foreign food materials in powder food processing lines. This demand is especially important for the detection of product adulteration with traces of highly allergenic products, such as peanuts and tree nuts. Manufacturi...
Article
Full-text available
Use of a common environment for processing different powder foods in the industry has increased the risk of finding peanut traces in powder foods. The analytical methods commonly used for detection of peanut such as Enzyme-Linked Immunosorbent Assay (ELISA) and Real Time Polymerase Chain Reaction (RT-PCR) represent high specificity and sensitivity...
Conference Paper
Full-text available
http://www.hsi2014.com/wp-content/uploads/2014/10/p4-Multispectral-imaging-for-detection-of-foreign-food-material-in-powder-food.pdf
Article
The present research is focused on the application of hyperspectral images for the supervision of quality deterioration in ready to use leafy spinach during storage (Spinacia oleracea). Two sets of samples of packed leafy spinach were considered: (a) a first set of samples was stored at 20 degrees C (E-20) in order to accelerate the degradation pro...
Article
Full-text available
Vine water status is a major parameter for vine management because it affects both wine quality and yield. In order to optimize vineyard management and harvesting practices, it is necessary to characterize vineyard water status spatial variability. This work aims at establishing an empirical spatial model for stem water potential (ΨStem) with ancil...
Conference Paper
Full-text available
Several studies have shown that vineyards are spatially variable at within field scale. Characterizing this variability could be used to improve grape and wine production, by adapting management practices and harvesting to the vineyard variability. The goal of this work is to calibrate a spatial model by coupling high quality, high cost punctual vi...
Article
Increasing consumer dissatisfaction related with lack of ripeness in peach has been repeatedly reported since 1990 to the present day. There is thus, a great interest in improving the assessment of peach maturity, currently based on Magness Taylor firmness (destructive, highly variable, and time consuming) and colour (not reliable for highly colour...
Conference Paper
Full-text available
Resumen Diversas investigaciones han intentado resolver el problema de identificación de frutos u hojas mediante imágenes digitales, pero sólo lo han logrado parcialmente. Por esto, el objetivo de este trabajo es explorar una metodología de identificación que permita estimar áreas de hojas y racimos en viñedos, empleando imágenes en el espectro vis...
Conference Paper
Full-text available
Resumen En el presente trabajo se explora la técnica de imagen hiperespectral en el ámbito de las hortalizas de hoja mínimamente procesadas para la determinación de atributos de calidad ligados a la evolución durante su almacenamiento y manejo. Se ha implementado un equipo de visión hiperespectral VIS-NIR (400 – 1000 nm) para la adquisición de imág...
Article
Full-text available
The present research is focused on the application of artificial vision to assess the ripening of red skinned soft-flesh peach (‘Richlady’). Artificial vision allows a spatially detailed determination of the ripening stage of the fruit. The considered optical indexes (Ind1 and Ind2, proposed in the present research, and Ind3 and IAD, proposed by ot...
Article
Deficit irrigation (DI) has proved successful in saving water without severely impacting on yield for a variety of fruit-producing crops. The potential application of DI to hardy nursery stock (HNS) crops, however, has received less attention. Since growth control of many HNS cultivars requires substantial labour investment, the possibility of redu...
Article
Full-text available
Unlabelled: The main objective of this research was to develop an automatic procedure able to classify Rich Lady commercial peaches according to their ripeness stage through multispectral imaging techniques. A classification procedure was applied to the ratio images calculated as red (R, 680 nm) divided by infrared (IR, 800 nm), that is, R/IR imag...
Article
The main objective of this research was to develop an automatic procedure able to classify Rich Lady commercial peaches according to their ripeness stage through multispectral imaging techniques. A classification procedure was applied to the ratio images calculated as red (R, 680 nm) divided by infrared (IR, 800 nm), that is, R/IR images. Four imag...
Conference Paper
Explore the relationship between non destructive (ND) measurements (impact and optical) and: 9Maturity: referenced by the date of harvest. Peach trees produce a staggered fruit maturation, so high variability is expected for a certain harvest date. Thus, average values for each date are used as a reference. 9MTF: Most extended reference used by gro...
Conference Paper
Full-text available
Non destructive determination of stone fruit firmness is a critical factor for improving its quality and handling. This work applies available acoustic techniques to the determination peach firmness, considering and comparing different parameters obtained with 2 devices: AWETA-AFS (Acoustic Firmness Sensor), which integrates impact and acoustic res...
Article
wo multispectral maturity classifications for red soft-flesh peaches (‘Kingcrest’, ‘Rubyrich’ and ‘Richlady’ n = 260) are proposed and compared based on R (red) and R/IR (red divided by infrared) images obtained with a three CCD camera (800 nm, 675 nm and 450 nm). R/IR histograms were able to correct the effect of 3D shape on light reflectance and...
Article
Full-text available
La demanda por parte del consumidor de frutos con sabo ry textura garantizados hace que los productores, centrales de confeccion y comercializadores busquen herramientas que les permitan conocer la calidad interna del producto que manipulan, para satisfacer esa demanda de forma consistente. En este articulo se presentan los resultados preliminares...

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