Sigfredo Fuentes

Sigfredo Fuentes
University of Melbourne | MSD · Faculty of Veterinary and Agricultural Sciences

Professor
Working on Digital Agriculture, Food, Wine and Animal Sciences using machine learning and AI (Agriculture 4.0)

About

329
Publications
126,746
Reads
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4,470
Citations
Introduction
Sigfredo is an Associate Professor in Digital Agriculture, Food and Wine Sciences at the University of Melbourne. Previously he worked at the Universities of Adelaide, Technology, Sydney; Western Sydney (Ph.D.) and Chile. For more information visit: https://findanexpert.unimelb.edu.au/profile/551189-sigfredo-augusto-fuentes-jara www.vineyardofthefuture.com and https://fvas.unimelb.edu.au/research/groups/digital-agriculture-food-and-wine
Additional affiliations
January 2019 - December 2021
University of Melbourne
Position
  • Professor (Associate)
September 2014 - October 2015
University of Melbourne
Position
  • Lecturer
February 2014 - present
University of Melbourne
Position
  • Lecturer in Sensory Analysis and Practice
Description
  • This subject provides an overview of sensory analysis and practice. Lectures, tutorials and practical demonstrations in the core theories and methodology of sensory science.
Education
July 2002 - December 2005
Western Sydney University
Field of study
  • Plant Physiology and Irrigation Science
January 1991 - December 1996
Universidad de Talca
Field of study
  • Agronomy

Publications

Publications (329)
Article
Full-text available
Bushfires are increasing in number and intensity due to climate change. A newly developed low-cost electronic nose (e-nose) was tested on wines made from grapevines exposed to smoke in field trials. E-nose readings were obtained from wines from five experimental treatments: i) low-density smoke exposure (LS), ii) high-density smoke exposure (HS) an...
Article
Full-text available
Increased global temperatures and climatic anomalies, such as heatwaves, as a product of climate change, are impacting the heat stress levels of farm animals. These impacts could have detrimental effects on milk quality and productivity of dairy cows. This research used four years of data from a robotic dairy farm from 36 cows with similar heat tol...
Chapter
Artificial intelligence (AI) is being developed and used in four main areas of viticulture and winemaking in order to tackle a wide range of challenges, from climate change to counterfeit wine.
Chapter
Electronic noses (e-noses) have been used for agriculture and food applications to mainly assess volatile aromatic compounds to determine produce maturity, pest and disease attack, and for classification purposes according to food products, geographical origin, or quality. However, early e-noses were developed as an attachment to gas chromatographs...
Poster
Full-text available
This study aimed to develop an alternative method for rapid detection and of high replicability potential of rice adulteration using a low-cost and portable electronic nose (e-nose) coupled with machine learning (ML) modeling techniques.
Poster
Full-text available
Berry cell death (BCD) has been shown to be an objective and important parameter to assess berry and wine quality traits such as aroma profiles. Most common methods to measure berry cell death involve the collection of berries from veraison to harvest, followed by analysis using dyes (fluorescent and non-fluorescent) and recording images for comput...
Conference Paper
Due to increased rates of fraud through counterfeiting and adulteration of quality wines, it is important to develop novel non-destructive techniques to assess wine quality and provenance. Therefore, our research group developed a novel method using near-infrared (NIR) spectroscopy (1596 – 2396 nm) coupled with machine learning (ML) modelling to as...
Conference Paper
Due to climate change, the higher incidence and severity of bushfires is a major challenge for wine producers worldwide as an increase in smoke contamination negatively affects the physicochemical components that contribute to lower quality of both fresh produce and final products (smoke taint in wines). This results in reduced prices and consumer...
Article
When adopting remote sensing techniques in precision agriculture, there are two main areas to consider: data acquisition and data analysis methodologies. Imagery and re-mote sensor data collected using different platforms provide a variety of information volumes and formats. For example, recent research in precision agriculture has used multispectr...
Article
Full-text available
Digitally extracted biometrics from visible videos of farm animals could be used to automatically assess animal welfare, contributing to the future of automated veterinary support systems. This study proposed using non-invasive video acquisition and biometric analysis of dairy cows in a robotic dairy farm (RDF) located at the Dookie campus, The Uni...
Article
Expectations are pre-existing beliefs developed due to prior interactions with products. This study aimed to understand how expectations raised from different packaging materials (four textures x two font colours) affect the approach-based consumer behaviours. Participants evaluated tetra pack, pouch, glass and plastic bottles using white and orang...
Article
The implementation of artificial intelligence (AI) in parallel with remote sensing could be a powerful tool to manage irrigation scheduling on crops with narrow thresholds between water stress levels, such as cherry trees. This research assessed the water status of 'Regina' cherry trees using machine learning (ML) modeling from data extracted autom...
Research Proposal
Full-text available
Here we present the ‘Emerging Talents in Horticulture: Viticulture, Pomology and Soft Fruits' article collection, a project dedicated to highlighting the emerging talent of student researchers. The research presented here highlights the quality and diversity of student researchers across the field of viticulture, pomology, and soft fruits. Across...
Article
Full-text available
The individual and cumulative e􀀀ects of drought stress (DS) and heat stress (HS) are the primary cause of grain yield (GY) reduction in a rainfed agricultural system. Crop failures due to DS and HS are redicted to increase in the coming years due to increasingly severe weather events. Plant available silicon (Si, H4SiO4) has been widely reported fo...
Article
Full-text available
The evapotranspiration (ET) process is an essential component in many agricultural water management, and its estimation is even more determinant when crops are grown under water-limited environments. The traditional canopy resistance (r_c) approaches were evaluated to simulate potato evapotranspiration (ETcp) using the original Penman-Monteith equa...
Article
Full-text available
Almost all fruits and vegetables sold in modern society are sorted and labeled, making it easier for customers to recognize the quality of the product, leading to more regular distribution and supply. Consequently, it facilitates the initial packaging and transportation of the product, and farmers will benefit from the added value. Therefore, it is...
Article
Full-text available
Livestock welfare assessment helps monitor animals' health status to maintain productivity, identify injuries and stress, and avoid deterioration. It has also become an important marketing strategy since it increases consumer pressure for a more humane transformation in animals’ treatment. Common visual welfare practices by professionals and veteri...
Poster
Full-text available
Introduction Sensory properties in beer can be affected by factors, such as type of fermentation, style, and chemical composition. This study aimed to analyze physicochemical composition of commercial beers with different fermentation types and styles and to evaluate potential associations with sensory affective responses. Methods Six beers were st...
Poster
Full-text available
The evapotranspiration (ET) process is essential for many agricultural water management studies and its partitioning into soil evaporation (E) and plant transpiration (T) is key for optimizing the irrigation water use under scarce water resources. A field experiment was carried out on a drip-irrigated potato crop (var. Puyehue INIA) during the maxi...
Article
The social isolation settings derived from the COVID-19 pandemic affected the standard sensory evaluation techniques used in the food and beverage industry. This situation forced companies and researchers to assess other options to continue conducting these tests in remote contactless locations. This study aimed to evaluate two sets of samples (i)...
Book
Full-text available
n recent years, new and emerging digital technologies applied to Food Science have been gaining attention and increased interest from researchers and the food/beverage industries. Especially those digital technologies that can be used throughout the food value chain are accurate, easy to implement, affordable, and user-friendly. Hence, this special...
Article
Full-text available
Olive oil industries success depends on provenance and quality-trait consistency affecting consumers acceptability/preference and purchase intention. Companies rely on laboratories to analyze samples to assess consistency within production chain, which may be time-consuming, cost-restrictive and untimely obtaining results, making the process more r...
Article
Full-text available
In recent years, new and emerging digital technologies applied to Food Science have been gaining attention and increased interest from researchers and the food/beverage industries. Especially those digital technologies that can be used throughout the food value chain are accurate, easy to implement, affordable, and user-friendly. Hence, this specia...
Article
Full-text available
Aroma and other physicochemical parameters are important attributes influencing consumer perception and acceptance of rice. However, current methods using multiple instruments and laboratory analysis make these assessments costly and time-consuming. Therefore, this study aimed to assess rice quality traits of 17 commercial rice using a low-cost ele...
Preprint
Journal of Transactions on Image Processing, Manuscript ID: TIP-27416-2022, Status: in-review
Article
Full-text available
Climatic anomalies, such as heatwaves and bushfires, are increasing in number, intensity, and severity worldwide due to climate change. Bushfires are especially important in winemaking countries since smoke contamination can reach vineyards in critical periods of berry development, producing smoke contamination, which is passed to the wine as smoke...
Article
Full-text available
Beer is susceptible to developing different faults (off-flavours/off-aromas) due to its main ingredients and variability in the conditions within the production stages and storage; this is especially challenging for craft breweries. Therefore, it is important to develop novel, rapid, and non-destructive methods for detecting faults. A dry lager bee...
Article
Full-text available
Background Sensory biometrics provide advantages for consumer tasting by quantifying physiological changes and emotional response from participants, removing variability associated with self-reported responses. This study aimed to assess measure the physicochemical composition and consumers' emotional and physiological responses towards different c...
Book
Full-text available
In the food and beverage industries, implementing novel methods using digital technologies such as artificial intelligence (AI), sensors, robotics, computer vision, machine learning (ML), and sensory analysis using augmented reality (AR) has become critical to maintaining and increasing the products’ quality traits and international competitiveness...
Article
Full-text available
The winemaking industry can benefit greatly by implementing digital technologies to avoid guesswork and the development of off-flavors and aromas in the final wines. This research presents results on the implementation of near-infrared spectroscopy (NIR) and a low-cost electronic nose (e-nose) coupled with machine learning to detect and assess wine...
Article
Full-text available
In the food and beverage industries, implementing novel methods using digital technologies such as artificial intelligence (AI), sensors, robotics, computer vision, machine learning (ML), and sensory analysis using augmented reality (AR) has become critical to maintaining and increasing the products’ quality traits and international competitiveness...
Article
Full-text available
This study aimed to evaluate the influence of origin information on Pinot Noir wine labels using eye-tracking and its associations with purchase intent, hedonic, and subconscious emotional responses. Two studies were carried out on untrained university staff and students within 20 – 60 years old. Study 1 was conducted to assess consumers (N = 55; 5...
Chapter
New and emerging technologies could play a critical role in the viticulture and winemaking of the future. Climate change has threatened the status quo within the viticultural and wine industry due to increased ambient temperatures, the variability of precipitation, and the increase of climatic risks. These main threats are specifically related to t...
Article
Full-text available
Wildfires are an increasing occurrence throughout the world. Grapevine smoke exposure can result in wines characterized by unpalatable smoke aromas. Current chromatographic techniques to assess levels of smoke-derived compounds in berries and wine are destructive, expensive to operate and time-consuming. This research assessed the use of near-infra...
Chapter
Packaging creates the first impression from consumers when selecting commercial food or beverages. Different packaging components are important as they contain all areas of interest related to branding, shape, design, and nutritional information, which could determine willingness to purchase and success of products in the market. However, tradition...
Poster
Full-text available
It explores the differential expression of genes in various metabolic pathways in response to Si-induced drought stress tolerance in lentils using high-throughput RNA-seq analysis
Book
Full-text available
Artificial intelligence (AI), together with robotics, sensors, sensor networks, internet of things (IoT) and machine/deep learning modeling, has reached the forefront towards the goal of increased efficiency in a multitude of application and purpose. The development and application of AI requires specific considerations, approaches, and methodologi...
Article
The increase of vineyard's water consumption due to the Global Warming Phenomenon (GWP) has forced the winegrowers to strengthen their irrigation and water stewardship efforts, intended for maintaining this resource's long-term sustainable use. Due to water being a limited resource, implementing the Water Footprint (WF) concept in winegrapes produc...
Article
While starting a new 2021-22 grape-growing season in Australia, potential climatic anomalies such as bushfires are in the consciousness of many grape growers and winemakers. Increasing ambient temperatures has resulted in associated climatic anomalies, such as extreme wildfires in Australia, California, Siberia, Greece and Turkey as forecasted and...
Article
Full-text available
New and emerging non-invasive digital tools, such as eye-tracking, facial expression and physio-logical biometrics, have been implemented to extract more objective sensory responses by panelists from packaging and, specifically, labels. However, integrating these technologies from different company providers and software for data acquisition and an...
Article
Full-text available
Berry cell death assessment can become one of the most objective parameters to assess important berry quality traits, such as aroma profiles that can be passed to the wine in the winemaking process. At the moment, the only practical tool to assess berry cell death in the field is using portable near-infrared spectroscopy (NIR) and machine learning...
Poster
Full-text available
Una estrategia hídrica adecuada puede potenciar la respuesta fisiológica y productiva del cultivo de papa bajo escenarios de escasez hídrica. El objetivo fue evaluar dos escenarios de riego deficitario (DI) (75% del bien regado y 60% del bien regado) sobre las respuestas fisiológicas y de rendimiento. El estudio se realizó en INIA Carillanca usando...
Poster
Full-text available
The latest pandemic due to COVID-19 appearance in 2020 has led to lockdown worldwide, which have affected companies and universities conducting sensory evaluation. Therefore, a novel method to conduct sensory sessions in isolation has been developed. This consists of using communication software such as Zoom and online software such as Google forms...
Poster
Full-text available
Beer is susceptible to develop different faults (off-flavours/off-aromas) due to the nature of its main ingredients and variability in the conditions within the production stages and storage; this is especially challenging for craft breweries. Therefore, it is important to develop novel, rapid and non-destructive methods for detection of faults. A...
Poster
Full-text available
Climatic anomalies, such as heatwaves and bushfires, are increasing in number, intensity, and severity worldwide due to climate change. Bushfires are especially important in winemaking countries since smoke contamination can reach vineyards in critical periods of berry development, producing smoke contamination, which is passed to the wine as smoke...
Article
Full-text available
New and emerging technologies, especially those based on non-invasive video and thermal infrared cameras, can be readily tested on robotic milking facilities. In this research, implemented non-invasive computer vision methods to estimate cow’s heart rate, respiration rate and abrupt movements captured using RGB cameras and machine learning modellin...
Article
Full-text available
Beer is susceptible to developing different faults (off-flavours/off-aromas) due to its main ingredients and variability in the conditions within the production stages and storage; this is especially challenging for craft breweries. Therefore, it is important to develop novel, rapid, and non-destructive methods for detecting faults. A dry lager bee...
Article
Full-text available
The recent pandemic due to the appearance of COVID-19 in 2020 has led to lockdowns worldwide, which have affected companies and universities conducting sensory evaluations. Therefore, a novel method to conduct sensory sessions for descriptive and consumer tests using biometrics in isolation has been developed.
Article
Full-text available
Rice quality assessment is essential for meeting high-quality standards and consumer demands. However, challenges remain in developing cost-effective and rapid techniques to assess com-mercial rice grain quality traits. This paper presents the application of computer vision (CV) and machine learning (ML) to classify commercial rice samples based on...
Poster
Full-text available
Psychophysiology, the study of the physiological bases of psychological states, has long been a mainstay in traumatic stress research. However, traditional approaches can be impractical in some situations and require specialised equipment, limiting their point-of-care potential. Advances in imaging, signal processing and machine learning techniques...
Article
Full-text available
Artificial intelligence (AI), together with robotics, sensors, sensor networks, internet of things (IoT) and machine/deep learning modeling have reached the forefront to-wards the goal of increased efficiency in multitude of application and purpose. The development and application of AI requires specific considerations, approaches, and methodologie...
Article
Full-text available
Advances in early insect detection have been reported using digital technologies through camera systems, sensor networks, and remote sensing coupled with machine learning (ML) modeling. However, up to date, there is no cost-effective system to monitor insect presence accurately and insect-plant interactions. This paper presents results on the imple...
Article
Full-text available
Wine aroma is an important quality trait in wine influenced by its volatile compounds. Many factors can affect the composition and levels (concentration) of volatile aromatic compounds, in-cluding the water status of grapevines, canopy management and the effects of climate change, such as increases in ambient temperature and drought. In this study,...
Article
Full-text available
Beer is one of the most popular beverages worldwide. As a product of variable agricultural ingredients and processes, beer has high molecular complexity. We used DIA/SWATH-MS to investigate the proteomic complexity and diversity of 24 commercial Australian beers. While the overall complexity of the beer proteome was modest, with contributions from...
Article
Full-text available
The incidence and intensity of bushfires is increasing due to climate change, resulting in a greater risk of smoke taint development in wine. In this study, smoke tainted and non-smoke tainted wines were subjected to treatments using activated carbon with/without the addition of a cleaving enzyme treatment to hydrolyze glycoconjugates. Chemical mea...
Article
Full-text available
Early detection of beer faults is an important assessment in the brewing process to secure a high-quality product and consumer acceptability. This study proposed an integrated AI system for smart detection of beer faults based on the comparison of near-infrared spectroscopy (NIR) and a newly developed electronic nose (e-nose) using machine learning...
Article
Full-text available
Unmanned aerial vehicle (UAV) remote sensing has become a readily usable tool for agricultural water management with high temporal and spatial resolutions. UAV-borne thermography can monitor crop water status near real-time, which enables precise irrigation scheduling based on accurate decision-making strategy. The crop water stress index (CWSI) is...
Article
Respiratory diseases in pigs impact the wellbeing of animals and increase the cost of production. One of the most appropriate approaches to minimizing these negative effects is the early detection of ill animals. The use of cameras coupled with computer-based techniques could assist the early detection of physiological changes in pigs when they are...
Article
Full-text available
The variability of grapevine phenological stages under climate change have been studied in many winegrowing regions, with many reporting an advancement of the major phenological stages, particularly flowering, veraison and harvest. This study aimed to compare these regional patterns to integrate our understanding of grapevine responses. Average dai...
Conference Paper
Full-text available
Climate change has posed major risks for viticulture and winemaking around the world, related to increased ambient temperatures, the variability of rain events, higher occurrence and intensity of climatic anomalies, such as frosts and bushfires. These changes have directly impacted grapevine phenology by compressing stages and pushing forward in ti...
Article
Lentil is the fifth most important grain legume growing in arid/semi-arid regions of the world. Drought is one of the major constraints leading up to 50 % of production losses just in lentil. Application of silicon (Si) has been shown to be a promising solution to improve drought tolerance; however, the biochemical mechanisms and interactions invol...
Article
Full-text available
There is a growing concern about water scarcity and the associated decline in Australia’sagricultural production. Efficient water use as a natural resource requires more precise and adequatemonitoring of crop water use and irrigation scheduling. Therefore, accurate estimations of evapo-transpiration (ET) at proper spatial–temporal scales are critic...