Giovanni Cabassi
Canadian Real Estate Association
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Publication
Featured researches published by Giovanni Cabassi.
Journal of Food Science and Technology-mysore | 2017
Alessandro Pugliese; Giovanni Cabassi; Emma Chiavaro; Maria Paciulli; Eleonora Carini; Germano Mucchetti
The lack of updated knowledge about the physical properties of milk powders aimed us to evaluate selected physical properties (water activity, particle size, density, flowability, solubility and colour) of eleven skim and whole milk powders produced in Europe. These physical properties are crucial both for the management of milk powder during the final steps of the drying process, and for their use as food ingredients. In general, except for the values of water activity, the physical properties of skim and whole milk powders are very different. Particle sizes of the spray-dried skim milk powders, measured as volume and surface mean diameter were significantly lower than that of the whole milk powders, while the roller dried sample showed the largest particle size. For all the samples the size distribution was quite narrow, with a span value less than 2. The loose density of skim milk powders was significantly higher than whole milk powders (541.36 vs 449.75xa0kg/m3). Flowability, measured by Hausner ratio and Carr’s index indicators, ranged from passable to poor when evaluated according to pharmaceutical criteria. The insolubility index of the spray-dried skim and whole milk powders, measured as weight of the sediment (from 0.5 to 34.8xa0mg), allowed a good discrimination of the samples. Colour analysis underlined the relevant contribution of fat content and particle size, resulted in higher lightness (L*) for skim milk powder than whole milk powder, which, on the other hand, showed higher yellowness (b*) and lower greenness (−a*). In conclusion a detailed knowledge of functional properties of milk powders may allow the dairy to tailor the products to the user and help the food processor to perform a targeted choice according to the intended use.
First Conference on Proximal Sensing Supporting Precision Agriculture | 2015
Martina Corti; Daniele Masseroni; P. Marino Gallina; Luca Bechini; Andrea Bianchi; Giovanni Cabassi; Daniele Cavalli; E.A. Chiaradia; Giacomo Cocetta; Antonio Ferrante; A. Ferri; S. Morgutti; F.F. Nocito; Arianna Facchi
High spatial and temporal resolution monitoring methods are the key to improve the efficiency in water and fertilizer input management. In this context, this work presents the set-up and the first results of a greenhouse experiment conducted on two crops with a different canopy geometry (rice and spinach) subjected to four nitrogen treatments. The experiment involves the acquisition of thermal, multispectral and hyperspectral images at three phenological stages for each crop. At each stage, spectral acquisitions are conducted on one-third of the pots, at good water conditions and, later on, at different times after interruption of irrigation. The total number of pots in the experiment is 72 (corresponding to 4 nitrogen levels x 2 crops x 3 phenological stages x 3 replicates). Just after the spectra acquisitions, non-destructive and destructive measurements of variables correlated with the crops nitrogen and water status are conducted. Multivariate regression analysis between the spectra features and measured variables will be used to identify predicting models for the estimation of crop water and nitrogen status. The most significant wavelengths for the detection of water and nitrogen stress could be the subject of a future experimentation in open field conditions using multispectral systems.
Precision Agriculture | 2018
Martina Corti; Daniele Cavalli; Giovanni Cabassi; Antonio Vigoni; Luigi Degano; Pietro Marino Gallina
The development of small unmanned aerial vehicles and advances in sensor technology have made consumer digital cameras suitable for the remote sensing of vegetation. In this context, monitoring the in-field variability of maize (Zea mays L.), characterized by high nitrogen fertilization rates, with a low-cost color-infrared airborne system could be the basis for a site-specific nitrogen (N) fertilization support system. An experimental field with different N treatments applied to silage maize was monitored during the years 2014 and 2015. Images of the field and reference destructive measurements of above ground biomass, its N concentration and N uptake were taken at V6 and V9 development stages. Classical normalized difference vegetation indices (NDVI) and the indices adjusted by crop ground cover were calculated and regressed against the measured variables. Finally, image colorgrams were used to explore the potential of band-related information in variable estimation. A colorgram is a linear signal that summarizes the color content of each digital image. It is composed of a sequence of the frequency distribution curves of the camera bands, of their related parameters and of results of the principal components analysis applied to each image. The best predictors were found to be the ground cover and the adjusted green-based NDVI: regression equation at V9 resulted in R2 of 0.7 and RRMSEu2009<u200925% in external validation. Colorgrams did not improve prediction performance due to the spectral limitations of the camera. Therefore, the feasibility of the method should be tested in future research. In spite of limitations of sensor setup, the modified camera was able to estimate maize biomass due to the very high spatial resolution. Since the above ground biomass is a robust proxy of N status, the modified camera could be a promising tool for a low-cost N fertilization support system.
Journal of Food Quality | 2018
Milan Stojanovic; Laura Marinoni; Giovanni Cabassi; Mališa P. Antić; Vera Lavelli
Grape skins (GS), which can be considered as reusable coproducts of winemaking, were processed to develop semiliquid ingredients for functional foods, as an alternative to powdered GS, which needs high energy input for drying. Processing of semiliquid GS ingredients included blanching, dilution to obtain dispersions with 2% or 10% of dry solids, milling, homogenization, and pasteurization. The individual phenolic contents and in vitro ferric ion reducing capacity (FRAP) of semiliquid GS ingredients were compared with those of air-dried and freeze-dried GS. With respect to freeze-dried GS, the recovery of FRAP values was ~75% for both air-dried GS and 2% GS dispersion and 59% for 10% GS dispersion. The average particle size diameters of solids in semiliquid GS ingredients were similar to those observed in commercial apple skin products. Possible applications of GS semiliquid ingredients to increase the reducing capacity of food 10 times include formulation into beverages and ice-type desserts and use in bakery products.
Agronomy for Sustainable Development | 2017
Fabio Castelli; Enrico Ceotto; Lamberto Borrelli; Giovanni Cabassi; Anna Moschella; Dario Fornara
The delivery of multiple ecosystem services from intensively managed cropping systems remains challenging mainly because increases in crop yields are rarely associated with greater soil carbon (C) sequestration or efficient ecosystem nitrogen (N) cycling. The sustainability of intensive cropping systems depends on trade-offs between multiple ecosystem services but experimental evidence from long-term field studies remains limited. The common expectation is that highly productive agroecosystems will be associated with lower soil C and reduced nutrient use efficiency. Here we use data spanning 30xa0years of a long-term field experiment established in 1985 near Lodi in Northern Italy where four arable systems (i.e., three crop rotations and a grain maize monoculture) and a no-till permanent meadow were all compared across two levels of agronomic inputs. We asked how (i) soil C stocks, (ii) fertilizer N-use efficiency, (iii) productivity, (iv) crude protein, and (v) feed units for lactation might differ across the five traditional cropping systems. We found that soil C sequestration, N-use efficiency, and crude protein production were all significantly higher in the no-till permanent meadow, which was however associated with lower dry matter yields and reduced feed units for lactation when compared with the arable systems. These findings suggest that converting arable soil into no-till permanent meadow is a win-lose solution. The most productive annual rotation (silage maize + Italian ryegrass) offers a complementary win-lose solution whereby high yields and feed units for lactation can be obtained from a smaller cropland area. The other cropping systems are less productive and provide little (or none) soil C storage benefits. Our study is one of the first to show clear trade-offs between multiple ecosystem services and to demonstrate that high fertilization rates might be only justified when the management goal is to spare land for less intensive uses such as permanent meadow.
European Journal of Agronomy | 2016
Daniele Cavalli; Giovanni Cabassi; Lamberto Borrelli; Gabriele Geromel; Luca Bechini; Luigi Degano; Pietro Marino Gallina
Biosystems Engineering | 2017
Martina Corti; Pietro Marino Gallina; Daniele Cavalli; Giovanni Cabassi
Italian Journal of Agronomy | 2016
Bruna Gumiero; Bruno Boz; Alessandra Lagomarsino; Paolo Bazzoffi; Rosario Napoli; Francesco Montemurro; Lamberto Borrelli; Rosa Francaviglia; Silvia Carnevale; Andrea Rocchini; Alessandro Elio Agnelli; Angelo Fiore; Giovanni Cabassi; Bruno Pennelli; Giorgio Moretti; Andrea Gasparini; Giuseppina Pipitone; Luigi Sansone
European Journal of Agronomy | 2018
Martina Corti; Daniele Cavalli; Giovanni Cabassi; Pietro Marino Gallina; Luca Bechini
Italian Journal of Agronomy | 2015
Rosa Francaviglia; Antonio Melchiorre Carroni; Paola Ruda; Mauro Salis; Paolo Bazzoffi; Silvia Carnevale; Andrea Rocchini; Antonio Troccoli; Mario Russo; Marisanna Speroni; Lamberto Borrelli; Giovanni Cabassi; Ulderico Neri; Rosario Napoli; Margherita Falcucci; Bruno Pennelli; Giampiero Simonetti; Melania Migliore; Chiara Piccini; Domenico Ventrella; Alessandro Vittorio Vonella; Luisa Giglio; Francesco Fornaro; Mirko Castellini; Francesca Modugno; Francesco Montemurro; Angelo Fiore; Mariangela Diacono; Lorenzo Furlan; Francesca Chiarini
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