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1. Investigating Polylactic Acid Foam–Plant Fiber Composites for Sound Absorption and Insulation.

Author

Rotini, Federico, Fiorineschi, Lorenzo, Conti, Leonardo, and Rossi, Giuseppe

Abstract

This study explores the acoustic properties of composite biomaterials using a polylactic acid (PLA) matrix reinforced by plant fibers for sound insulation applications. Acoustic tests evaluated the absorption coefficient, reflection factor, and characteristic impedance, examining various configurations with different thicknesses of the composite biomaterial. The combinations of PLA/grape stem and PLA/wood straw were analyzed for their acoustic behaviors. Grape stems and wood straw were chosen because they are abundant, undervalued waste materials, especially in Italian regions like Tuscany. Therefore, using these materials in composite biomaterials could offer opportunities for valorization. The findings highlight the impact of plant fiber characteristics on acoustic properties, emphasizing the need to optimize these factors for desired acoustic outcomes. The results suggest implications for developing eco-friendly construction materials that balance environmental sustainability with performance requirements. This investigation contributes to the ongoing discourse on sustainable material utilization for acoustic purposes, reinforcing the potential for innovative and environmentally conscious building solutions. [ABSTRACT FROM AUTHOR]

Published
2024
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4. Remote Monitoring of Coffee Leaf Miner Infestation Using Machine Learning.

Author

Vilela, Emerson Ferreira, Castro, Gabriel Dumbá Monteiro de, Marin, Diego Bedin, Santana, Charles Cardoso, Leite, Daniel Henrique, Matos, Christiano de Sousa Machado, Silva, Cileimar Aparecida da, Lopes, Iza Paula de Carvalho, Queiroz, Daniel Marçal de, Silva, Rogério Antonio, Rossi, Giuseppe, Bambi, Gianluca, Conti, Leonardo, and Venzon, Madelaine

Subjects
LEAFMINERS, FISHER discriminant analysis, NAIVE Bayes classification, DATABASES, K-nearest neighbor classification, SUPPORT vector machines, PRINCIPAL components analysis, MACHINE learning
Abstract

The coffee leaf miner (Leucoptera coffeella) is a key pest in coffee-producing regions in Brazil. The objective of this work was to evaluate the potential of machine learning algorithms to identify coffee leaf miner infestation by considering the assessment period and Sentinel-2 satellite images generated on the Google Earth Engine platform. Coffee leaf miner infestation in the field was measured monthly from 2019 to 2023. Images were selected from the Sentinel-2 satellite to determine 13 vegetative indices. The selection of images and calculations of the vegetation indices were carried out using the Google Earth Engine platform. A database was generated with information on coffee leaf miner infestation, vegetation indices, and assessment times. The database was separated into training data and testing data. Nine machine learning algorithms were used, including Linear Discriminant Analysis, Random Forest, Support Vector Machine, k-nearest neighbors, and Logistic Regression, and a principal component analysis was conducted for each algorithm. After optimizing the hyperparameters, the testing data were used to validate the model. The best model to estimate miner infestation was RF, which had an accuracy of 0.86, a kappa index of 0.64, and a precision of 0.87. The developed models were capable of monitoring coffee leaf miner infestation. [ABSTRACT FROM AUTHOR]

Published
2024
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6. UAV-Based Vegetation Indices to Evaluate Coffee Crop Response after Transplanting Seedlings Grown in Different Containers.

Author

Barata, Rafael Alexandre Pena, Ferraz, Gabriel Araújo e Silva, Bento, Nicole Lopes, Santana, Lucas Santos, Marin, Diego Bedin, Mattos, Drucylla Guerra, Schwerz, Felipe, Rossi, Giuseppe, Conti, Leonardo, and Bambi, Gianluca

Subjects
COFFEE plantations, COFFEE beans, LEAF area index, COFFEE growing, COFFEE, MULTISPECTRAL imaging, DRONE aircraft, SEEDLINGS
Abstract

Brazil stands out among coffee-growing countries worldwide. The use of precision agriculture to monitor coffee plants after transplantation has become an important step in the coffee production chain. The objective of this study was to assess how coffee plants respond after transplanting seedlings grown in different containers, based on multispectral images acquired by Unmanned Aerial Vehicles (UAV). The study was conducted in Santo Antônio do Amparo, Minas Gerais, Brazil. The coffee plants were imaged by UAV, and their height, crown diameter, and chlorophyll content were measured in the field. The vegetation indices were compared to the field measurements through graphical and correlation analysis. According to the results, no significant differences were found between the studied variables. However, the area transplanted with seedlings grown in perforated bags showed a lower percentage of mortality than the treatment with root trainers (6.4% vs. 11.7%). Additionally, the vegetation indices, including normalized difference red-edge, normalized difference vegetation index, and canopy planar area calculated by vectorization (cm2), were strongly correlated with biophysical parameters. Linear models were successfully developed to predict biophysical parameters, such as the leaf area index. Moreover, UAV proved to be an effective tool for monitoring coffee using this approach. [ABSTRACT FROM AUTHOR]

Published
2024
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7. Are complications after repairing acute Achilles tendon ruptures related to the surgical approach or the patient’s comorbidities?*

Author

Parise, Ana Cecilia, primary, Molho, Nicolás Martin, additional, Naiman, Melanie, additional, Valenti, Pablo, additional, Cafruni, Virginia María, additional, Villena, Daniel Sebastián, additional, Bilbao, Facundo, additional, Santini Araujo, María Gala, additional, Conti, Leonardo Angel, additional, Cardone, Guillermo, additional, Sotelano, Pablo, additional, and Carrasco, Marina, additional

Published
2023
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8. Evaluation of Coffee Plants Transplanted to an Area with Surface and Deep Liming Based on Multispectral Indices Acquired Using Unmanned Aerial Vehicles

Author

Barata, Rafael Alexandre Pena, primary, Ferraz, Gabriel Araújo e Silva, additional, Bento, Nicole Lopes, additional, Soares, Daniel Veiga, additional, Santana, Lucas Santos, additional, Marin, Diego Bedin, additional, Mattos, Drucylla Guerra, additional, Schwerz, Felipe, additional, Rossi, Giuseppe, additional, Conti, Leonardo, additional, and Bambi, Gianluca, additional

Published
2023
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9. Machine Learning and Conventional Methods for Reference Evapotranspiration Estimation Using Limited-Climatic-Data Scenarios

Author

Santos, Pietros André Balbino dos, primary, Schwerz, Felipe, additional, Carvalho, Luiz Gonsaga de, additional, Baptista, Victor Buono da Silva, additional, Marin, Diego Bedin, additional, Ferraz, Gabriel Araújo e Silva, additional, Rossi, Giuseppe, additional, Conti, Leonardo, additional, and Bambi, Gianluca, additional

Published
2023
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13. PROMOTION OF SUSTAINABLE TOURISM IN MARGINAL RURAL AREAS: A GIS DATABASE FOR THE PLANNING AND THE DEVELOPMENT OF EQUESTRIAN TOURISM (CASE OF STUDY IN TUSCANY - ITALY).

Author

BAMBI, Gianluca, CONTI, Leonardo, ROSSI, Giuseppe, and BARBARI, Matteo

Subjects
GEOGRAPHIC information systems, RURAL tourism, GEODATABASES, SUSTAINABLE tourism, TOURISM marketing, TOURISM websites, DATABASE design
Abstract

A form of rural tourism in expansion is horse tourism. Equitourism is a form of hiking that allows for an intimate and natural use of landscapes and local territories. Equestrian tourism today no longer represents a small elite market niche, as it has become a true form of pastime for an increasing number of users. Trail planning and management need to consider the changes that are already occurring, as well as those that are predicted to lie ahead. The key trends that are expected to have an impact on recreational horse trail planning and management are highlighted in this research. Many of these trends have been emerging over decades and have rapidly increased due to the impacts of the COVID-19 pandemic. In recent years, in many Italian regions, especially in Tuscany, thanks to the enhancement of the Tuscan equestrian routes, projects for the promotion of equestrian tourism have been developed. In this work the methodology applied was based on the identification of an appropriate database created in the GIS context and specifically coded for equestrian tourism. The aim is to guarantee the creation of an innovative and functional product to meet the needs of this sustainable tourism sector, providing information capable of facilitating the end user, who, through their GPS, georeferenced images and maps, will have the possibility of planning and traveling the horse trail in complete safety. The final result of this research (the first case study in Italy) is the creation of a modern and complete information database of a horse trail that can be managed using GIS. [ABSTRACT FROM AUTHOR]

Published
2023
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20. Characterization of Recently Planted Coffee Cultivars from Vegetation Indices Obtained by a Remotely Piloted Aircraft System

Author

Bento, Nicole Lopes, primary, Ferraz, Gabriel Araújo e Silva, additional, Barata, Rafael Alexandre Pena, additional, Soares, Daniel Veiga, additional, Santos, Luana Mendes dos, additional, Santana, Lucas Santos, additional, Ferraz, Patrícia Ferreira Ponciano, additional, Conti, Leonardo, additional, and Palchetti, Enrico, additional

Published
2022
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26. Remotely Piloted Aircraft and Random Forest in the Evaluation of the Spatial Variability of Foliar Nitrogen in Coffee Crop

Author

Marin, Diego Bedin, primary, Ferraz, Gabriel Araújo e Silva, additional, Guimarães, Paulo Henrique Sales, additional, Schwerz, Felipe, additional, Santana, Lucas Santos, additional, Barbosa, Brenon Dienevam Souza, additional, Barata, Rafael Alexandre Pena, additional, Faria, Rafael de Oliveira, additional, Dias, Jessica Ellen Lima, additional, Conti, Leonardo, additional, and Rossi, Giuseppe, additional

Published
2021
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28. Influence of flight altitude and control points in the georeferencing of images obtained by unmanned aerial vehicle

Author

Santos Santana, Lucas, primary, Araújo E Silva Ferraz, Gabriel, additional, Bedin Marin, Diego, additional, Dienevam Souza Barbosa, Brenon, additional, Mendes Dos Santos, Luana, additional, Ferreira Ponciano Ferraz, Patrícia, additional, Conti, Leonardo, additional, Camiciottoli, Stefano, additional, and Rossi, Giuseppe, additional

Published
2021
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34. Percutaneous surgery for overlapping fifth toe

Author

Bilbao, Facundo, primary, Verbner, Jonathan, additional, Parise, Ana, additional, Villena, Daniel, additional, Araujo, Maria Gala Santini, additional, Sotelano, Pablo, additional, Carrasco, Nelly, additional, Carlucci, Sofia, additional, Conti, Leonardo, additional, and Migues, Atilio, additional

Published
2018
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43. Analisi GIS applicate alla gestione faunistica Le mappe di rischio di impatto degli ungulati.

Author

Giugni, Alessandro, Ferretti, Marco, and Conti, Leonardo

Abstract

Copyright of GEOmedia is the property of MediaGEO and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2016

44. Utility of the modified 5-item frail index to predict complications and reoperations after hallux valgus percutaneous surgery

Author

Cafruni, Virginia M., Camino-Willhuber, Gaston, Conti, Leonardo, Sotelano, Pablo, Bilbao, Facundo, Cardone, Guillermo, Villena, Daniel S., Parise, Ana C, Carrasco, Nelly M., and Santini-Araujo, Maria G

Abstract

Introduction: The modified 5-item frailty index (mFI-5) has been recently proposed as a useful tool for predicting postoperative complications in orthopedic surgery. We aimed to analyze the utility of this score in predicting complications and reoperations after hallux valgus (HV) deformity surgery.

Published
2023
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45. Cooling performance of earth-to-air heat exchangers applied to a poultry barn in semi-desert areas of south Iraq.

Author

Morshed, Wasseem, Leso, Lorenzo, Conti, Leonardo, Rossi, Giuseppe, Simonini, Stefano, and Barbari, Matteo

Subjects
*HEAT exchangers, *SOIL moisture, *PHYSIOLOGICAL effects of heat, *ENERGY consumption, *SENSITIVITY analysis
Abstract

Earth-to-air heat exchangers (EAHE) can reduce the energy consumption required for heating and cooling of buildings. The composition and the thermal characteristics of the soil influence the heat exchange capacity, and the soil moisture can furthermore affect thermal performance of EAHE. The aim of this study was to compare the thermal performance of EAHE in dry and artificially wetted soil. Tests were carried out in the Basra Province (Iraq), in a semi-desert area. Two experimental EAHE were built in a poultry barn and tested from June 2013 to September 2013. The pipe exchangers were buried at 2 m deep. One heat exchanger operated in dry soil (DE), while the other one operated in artificially wetted soil (WE). In the WE system, a drip tubing placed 10 cm above the air pipe wetted the soil around the exchanger. Air temperatures at the inlet and at the outlet of both the exchangers as well as soil temperature at 2 m deep were continuously monitored. The experimental results confirmed that wetting the soil around EAHE improves the general heat exchange efficiency. The coefficient of cooling performance (COP) of the earth-to-air heat exchangers system was evaluated on the basis of the ratio between the heat removed from the air or added to the air and the energy input. During the day, with an average COP of 6.41, the WE system cooled the air more than the DE system, which reported a value of 5.07. On average, in the hottest hours of the day, the outlet temperature of the WE was 37.35°C while in the DE it was 38.91°C. Moreover, during the nighttime, the WE system warmed the air more than the DE system. [ABSTRACT FROM AUTHOR]

Published
2018
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