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Ms. Lavinia Eleonora Galli
Università degli studi di Milano

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Research Keywords & Expertise

0 Agricultural Machinery
0 Agricultural Science
0 Mechanization
0 Agricolture
0 Agricultural Engineering

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Short Biography

Lavinia Eleonora Galli received degree in “Agricultural Technology for the Environment” in 2016 at the University of Milan, with a thesis concerning a “Survey on the real engine load of tractors in common agricultural tasks.” He received master’s degree in Agricultural Science in 2018 at the same university, with a thesis regarding the “A model for the evaluation of weighted energy efficiency of orchard and vineyard tractors.” Currently, he holds a research grant at the Department of Agricultural and Environmental Sciences of the University of Milan. Main research fields: ROPS for agricultural machinery, agricultural operators’ safety, and agricultural tractor energy efficiency.

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Journal article
Published: 19 April 2021 in Sustainability
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In Italy, about 160 fatal accidents per year have occurred recently in agriculture, most of them involving agricultural machinery. The most frequent cause of fatal events is the tractor overturning. One of the opportunities to monitor the trend of agricultural tractors fatal overturning is a meticulous search for information on the numerous web portals, at national and local level. In fact, in their information purposes are also included the recording, practically in real time, of significant details about each fatal event, such as the place of the accident, the year, the month and the day of the week of occurring, the victim’s age, gender and nationality, etc. This article is describing the results of the monitoring of fatal tractor overturning accidents in the period of 2008–2019 in Italy. In the 12 years of the survey, 1414 fatal accidents were recorded, most of them occurring in the spring and summer months. The region with the highest cumulative number of fatal events was Tuscany (143). The majority (58.8%) of the victims were over 60, while 71.4% of accidents occurred during field work. Most (57.6%) of the tractors involved in the fatal events did not have rollover protective structures (ROPS), while 19.4% were equipped with a two-post foldable front roll-bar, which, however, was in the lowered position at the time of the accident. In most cases, the tractors involved were obsolete and in poor maintenance conditions, and did not comply with general and specific laws on work safety. To improve the situation, the introduction of the tractor training certificate for the drivers and the periodical inspection for tractors, as well as the issuing of significant financial supports to encourage the replacement of the old models with modern more safe models, are the most effective actions to be put into practice.

ACS Style

Davide Facchinetti; Stefano Santoro; Lavinia Galli; Domenico Pessina. Agricultural Tractor Roll-Over Related Fatalities in Italy: Results from a 12 Years Analysis. Sustainability 2021, 13, 4536 .

AMA Style

Davide Facchinetti, Stefano Santoro, Lavinia Galli, Domenico Pessina. Agricultural Tractor Roll-Over Related Fatalities in Italy: Results from a 12 Years Analysis. Sustainability. 2021; 13 (8):4536.

Chicago/Turabian Style

Davide Facchinetti; Stefano Santoro; Lavinia Galli; Domenico Pessina. 2021. "Agricultural Tractor Roll-Over Related Fatalities in Italy: Results from a 12 Years Analysis." Sustainability 13, no. 8: 4536.

Journal article
Published: 25 February 2021 in Sustainability
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Viticulture involves significant levels of machinery traffic, causing heavy soil compaction. In particular, the compaction of the subsoil is increased; a deep tillage could certainly solve the problem, but the risk of damage to the plants’ root system is high. The aim of this study was to investigate the trend of both the top- and the sub-soil compaction in a hillside vineyard located in Tuscany (Italy), investigating different machine-implement combinations, i.e., self-propelled machinery or narrow tractor coupled to implements. The tests were repeated periodically along the entire growing season, approximately every 6–8 weeks (end of May, end of July and first decade of October). A single test included at least 50 sample measurements, recorded randomly along each inter-row investigated. In the surveyed field, the inter-rows were alternatively covered with grass, or tilled in the top layer during the previous wintertime. Two experimental test sets were developed: the first involved the use of two implements (a sprayer and a grape harvester) towed by narrow tractors, while in the second the pesticide distribution and the harvesting were performed with a properly equipped self-propelled tool carrier. All the other farming operations were executed using the same implements in both cases. Balanced use of the self-propelled tool carrier and the traditional tractor-implement combination allows a better distribution of the soil compaction (in particular in the top-soil), thus improving the root-growing efficiency.

ACS Style

Domenico Pessina; Lavinia Galli; Stefano Santoro; Davide Facchinetti. Sustainability of Machinery Traffic in Vineyard. Sustainability 2021, 13, 2475 .

AMA Style

Domenico Pessina, Lavinia Galli, Stefano Santoro, Davide Facchinetti. Sustainability of Machinery Traffic in Vineyard. Sustainability. 2021; 13 (5):2475.

Chicago/Turabian Style

Domenico Pessina; Lavinia Galli; Stefano Santoro; Davide Facchinetti. 2021. "Sustainability of Machinery Traffic in Vineyard." Sustainability 13, no. 5: 2475.

Journal article
Published: 24 February 2021 in Applied Sciences
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Incorrect pesticide use in plant protection often involve a risk to the health of operators and consumers and can have negative impacts on the environment and the crops. The application of artificial intelligence techniques can help the reduction of the volume sprayed, decreasing these impacts. In Italy, the production of ready-to-eat salad in greenhouses requires usually from 8 to 12 treatments per year. Moreover, inappropriate sprayers are frequently used, being originally designed for open-field operations. To solve this problem, a small vehicle suitable for moving over rough ground (named “rover”), was designed, able to carry out treatments based on a single row pass in the greenhouse, devoted to reduce significantly the sprayed product amount. To ascertain its potential, the prototype has been tested at two growth stages of some salad cultivars, adopting different nozzles and boom settings. Parameters such as boom height, nozzle spacing and inclination, pump pressure and rover traveling speed were studied. To assess the effectiveness of the spraying coverage, for each run several water-sensitive papers were placed throughout the vegetation. Compared to the commonly distributed mixture volume (1000 L/ha), the prototype is able to reduce up to 55% of product sprayed, but still assure an excellent crop coverage.

ACS Style

Davide Facchinetti; Stefano Santoro; Lavinia Galli; Giulio Fontana; Lorenzo Fedeli; Simone Parisi; Luigi Bonacchi; Stefan Šušnjar; Fabio Salvai; Gabriele Coppola; Matteo Matteucci; Domenico Pessina. Reduction of Pesticide Use in Fresh-Cut Salad Production through Artificial Intelligence. Applied Sciences 2021, 11, 1992 .

AMA Style

Davide Facchinetti, Stefano Santoro, Lavinia Galli, Giulio Fontana, Lorenzo Fedeli, Simone Parisi, Luigi Bonacchi, Stefan Šušnjar, Fabio Salvai, Gabriele Coppola, Matteo Matteucci, Domenico Pessina. Reduction of Pesticide Use in Fresh-Cut Salad Production through Artificial Intelligence. Applied Sciences. 2021; 11 (5):1992.

Chicago/Turabian Style

Davide Facchinetti; Stefano Santoro; Lavinia Galli; Giulio Fontana; Lorenzo Fedeli; Simone Parisi; Luigi Bonacchi; Stefan Šušnjar; Fabio Salvai; Gabriele Coppola; Matteo Matteucci; Domenico Pessina. 2021. "Reduction of Pesticide Use in Fresh-Cut Salad Production through Artificial Intelligence." Applied Sciences 11, no. 5: 1992.

Conference paper
Published: 20 March 2020 in Lecture Notes in Civil Engineering
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The efficiency of the so called “narrow tractors” is affected not only by their engine and transmission design evolution, but also by the usage modes adopted. In fact, especially in vineyards and orchards, many tasks do not require high engine power and traction pull, but only a remarkable oil flow, because many implements are hydraulically driven. The present work is aimed to create a model (also customizable) to evaluate the Narrow Tractor Real Efficiency (N-TRE), taking into account also different scenarios, in terms of time and intensity usage. At a first attempt, the running conditions and the power requirement of the main operations carried out in viticulture were considered on two narrow tractors, simulated in a stationary mode by means of an electromagnetic dynamometer and integrated with a device for measuring the fuel consumption. The basic output has been a series of engine performance curves (power, torque and Specific Fuel Consumption, SFC), both at full and partial loads. On these curves, some characteristic operating points were identified, simulating the typical tractor running conditions when working in vineyard.

ACS Style

Lavinia Eleonora Galli; Davide Facchinetti; Domenico Pessina. N-TRE: A Model for the Evaluation of the Narrow Tractors Real Efficiency. Lecture Notes in Civil Engineering 2020, 389 -398.

AMA Style

Lavinia Eleonora Galli, Davide Facchinetti, Domenico Pessina. N-TRE: A Model for the Evaluation of the Narrow Tractors Real Efficiency. Lecture Notes in Civil Engineering. 2020; ():389-398.

Chicago/Turabian Style

Lavinia Eleonora Galli; Davide Facchinetti; Domenico Pessina. 2020. "N-TRE: A Model for the Evaluation of the Narrow Tractors Real Efficiency." Lecture Notes in Civil Engineering , no. : 389-398.