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About

About

Graduated and MSc in Agricultural Engineering with a strong emphasis on internationalization. He has been studied at the renowned São Paulo State University Júlio de Mesquita Filho - Campus of Botucatu - Faculty of Agronomic Sciences, Brazil, also at the prestigious The University of Adelaide, Australia where he was honoured with the "Joanne Kanas Memorial Medal". Accomplished his master's thesis at The Faculty of Sciences of The University of Porto (FCUP) in modelling biophysical parameters of Vitis vinifera L., where techniques of remote sensing and machine learning techniques were applied, obtained the highest grade (20/20). Participated in the “WineSpectra” and "VineSpec" projects that involve transference of knowledge between FCUP and companies of the wine sector, which had the main goal of modelling the grapevine water status in the Douro Wine Region, based on remote sensing techniques. He is currently a PhD student in Agricultural Sciences, holder of a FCT scholarship (SFRH / BD / 145182/2019) whose theme involves the application of systems biology in the context of precision agriculture. At the beginning of his PhD, he was selected to participate in the competitive “9th Advanced Training Course on Land Remote Sensing: Agriculture” promoted by the European Space Agency (ESA) hosted at the renowned Université catholique de Louvain, in Louvain-la-Neuve, Belgium, during the period from 16 to 20 September 2019. He is involved in the “Metbots” project, which commits part of his PhD work. He is also an Invited Assistant at FCUP, where he teaches the subject of Applications to Agriculture, from the Master in Remote Sensing, and also agriculture subjects, from the Agricultural Engineering and Landscape Architecture degrees. Developed knowledge about the research process (technology, implementation, and communication of results) both in academic and business context.

Interest
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Details

Details

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Publications

2024

A New Approach for Element Characterization of Grapevine Tissue with Laser-Induced Breakdown Spectroscopy

Authors
Tosin R.; Monteiro-Silva F.; Martins R.; Cunha M.;

Publication
Horticulturae

Abstract
The determination of grape quality parameters is intricately linked to the mineral composition of the fruit; this relationship is increasingly affected by the impacts of climate change. The conventional chemical methodologies employed for the mineral quantification of grape tissues are expensive and impracticable for widespread commercial applications. This paper utilized Laser-Induced Breakdown Spectroscopy (LIBS) to analyze the mineral constituents within the skin, pulp, and seeds of two distinct Vitis vinifera cultivars: a white cultivar (Loureiro) and a red cultivar (Vinhão). The primary objective was to discriminate the potential variations in the calcium (Ca), magnesium (Mg), and nitrogen (N) concentrations and water content among different grape tissues, explaining their consequential impact on the metabolic constitution of the grapes and, by extension, their influence on various quality parameters. Additionally, the study compared the mineral contents of the white and red grape cultivars across three distinct time points post veraison. Significant differences (p < 0.05) were observed between the Loureiro and Vinhão cultivars in Ca concentrations across all the dates and tissues and for Mg in the skin and pulp, N in the pulp and seeds, and water content in the skin and pulp. In the Vinhão cultivar, Ca differences were found in the pulp across the dates, N in the seeds, and water content in the skin, pulp, and seeds. Comparing the cultivars within tissues, Ca exhibited differences in the pulp, Mg in the skin and pulp, N in the pulp and seeds, and water content in the skin, pulp, and seeds. These findings provide insights into the relationship between the grape mineral and water content, climatic factors, and viticulture practices within a changing climate.

2023

Exploring the Impact of Water Stress on Grapevine Gene Expression and Polyphenol Production: Insights for Developing a Systems Biology Model

Authors
Portis, I; Tosin, R; Oliveira-Pinto, PR; Pereira-Dias, L; Santos, C; Martins, R; Cunha, M;

Publication
CSAC 2023

Abstract

2023

Enhancing Kiwi Bacterial Canker Leaf Assessment: Integrating Hyperspectral-Based Vegetation Indexes in Predictive Modeling

Authors
Reis-Pereira, M; Tosin, R; Martins, RC; Dos Santos, FN; Tavares, F; Cunha, M;

Publication
CSAC 2023

Abstract

2023

LIBS-Based Analysis of Elemental Composition in Skin, Pulp, and Seeds of White and Red Grape Cultivars

Authors
Tosin, R; Monteiro Silva, F; Martins, R; Cunha, M;

Publication
CSAC 2023

Abstract

2023

Precision maturation assessment of grape tissues: Hyperspectral bi-directional reconstruction using tomography-like based on multi-block hierarchical principal component analysis

Authors
Tosin, R; Monteiro-Silva, F; Martins, R; Cunha, M;

Publication
BIOSYSTEMS ENGINEERING

Abstract
This paper introduces a tomography-like method for assessing grape maturation. It analyses inner tissue spectra through point-of-measurement (POM) sensing. A multi-block hierarchical principal component analysis (MHPCA) algorithm was used for the spectral reconstruction of total grapes (skin, pulp, and seed). Two grape cultivars, Loureiro (white; n = 216) and Vinhao (red; n = 205) were measured at 12 dates after veraison (DAV). The reconstructed spectra showed no significant differences (p < 0.001) from the originals for both grapes. Loureiro had better statistical metrics (Person's correlation coefficient (r) values for: total grape: 0.99, skin: 1; pulp: 1, seed: 0.94) than Vinhao (r values for: total grape: 0.92, skin: 0.92; pulp: 0.95, seed: 0.95). Using self learning artificial intelligence (SL-AI), the following parameters were predicted for both grapes: soluble solids content (%; MAPE <13%), puncture force (N; MAPE <29%), chlorophyll content (a.u.; MAPE <29%), and anthocyanin content (a.u.; MAPE <17%, Vinhao only). When comparing observed values with predicted skin, pulp, and seed spectra, Vinhao showed no statistical differences for most parameters, except pulp chlorophyll on one DAV in the final maturation stage. The same was done with the Loureiro cultivar. Although Loureiro mostly showed no statistical differences in assessed parameters across tissues and dates, variations were found in pulp and skin chlorophyll content and puncture force. This tomography-like approach based on tissue maturation can help viticulturists to access instant data on grape maturation, supporting informed decision-making and promoting more sustainable agricultural practices.