Giuseppe Ferrigno's research while affiliated with Council for Agricultural Research and Agricultural Economy Analysis and other places
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Publications (3)
Core Ideas
Proximal sensors have been used for high‐detail mapping of soil C stock at field scale.
Laboratory Vis‐NIR spectroscopy allowed an increase in the number of data points.
Topsoil spatial variability maps were obtained using field gamma‐ray spectroscopy.
Only conventional laboratory analysis was used to calibrate the model (one sample/ha)....
Soils have a great potential in stocking soil organic carbon SOC, but how much can human activities, and particularly agricultural ones, contribute to increase (or decrease) the SOC content? Which kind of agricultural practices are the most effective?
From the soil database of Sicily we have selected 52 profiles, whose first 40 cm from the soil su...
Gamma-ray spectroscopy surveys the intensity and distribution of γ-rays emitted from radionuclides of soils and bedrocks. The most important radionuclides of soils and rocks are: 40K, 232Th, 238U and 137Cs, the latter due to Chernobyl explosion or radioactive pollution. Distribution and quantity of these radionuclides in the soil are strictly linke...
Citations
... Several studies such as those conducted by Amirian-Chakan et al. (2019); Poppiel et al. (2021); Pouladi et al. (2019); Zeraatpisheh et al. (2019); and Zeraatpisheh et al. (2020) used DSM to quantify the topsoil properties using large and intensive databases of local, regional and nationwide areas. Furthermore, several studies have used DSM approaches with a minimum number of field observations to model soil class, soil organic carbon content, and electrical conductivity from field to regional scales (Benke et al., 2020;Massawe et al., 2018;Priori et al., 2016;Zeraatpisheh et al., 2017). While the classical PTFs mainly predict the intended soil properties of a single or individual location (Rahmati, 2017); More recently, Song et al. (2020) applied DSM algorithms with kriging regression and random forest approaches using environmental data to map the spatial distribution of soil chemical, physical and hydraulic properties. ...