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20152022
most citedModelling soil water conent in a tomato field: proximal gamma ray spectroscopy and soil-crop system models

54 citations · 235 across the 7 of their papers we have counts for

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physics.geo-ph2022★ 9 cited

Airborne Radiometric Surveys and Machine Learning Algorithms for Revealing Soil Texture

Andrea Maino, Matteo Alberi, Emiliano Anceschi +15

Soil texture is key information in agriculture for improving soil knowledge and crop performance, so the accurate mapping of this crucial feature is imperative for rationally plann…

physics.geo-ph2018★ 51 cited

Biomass water content effect on soil moisture assessment via proximal gamma-ray spectroscopy

Marica Baldoncini, Matteo Alberi, Carlo Bottardi +4

Proximal gamma-ray spectroscopy supported by adequate calibration and correction for growing biomass is an effective field scale technique for a continuous monitoring of top soil w…

physics.geo-ph2018★ 45 cited

Investigating the potentialities of Monte Carlo simulation for assessing soil water content via proximal gamma-ray spectroscopy

Marica Baldoncini, Matteo Alberi, Carlo Bottardi +4

Proximal gamma-ray spectroscopy recently emerged as a promising technique for non-stop monitoring of soil water content with possible applications in the field of precision farming…

physics.geo-ph2018★ 54 cited

Modelling soil water conent in a tomato field: proximal gamma ray spectroscopy and soil-crop system models

Virginia Strati, Matteo Alberi, Stefano Anconelli +11

Proximal soil sensors are taking hold in the understanding of soil hydrogeological processes involved in precision agriculture. In this context, permanently installed gamma ray spe…

physics.geo-ph2015★ 17 cited

Uranium distribution in the Variscan Basement of Northeastern Sardinia

Xhixha M. Kaçeli, M. Albèri, M. Baldoncini +15

We present a detailed map of the uranium distribution and its uncertainties in the Variscan Basement of Northeastern Sardinia (VBNS) at a scale 1:100,000. An area of 2100 km2 was i…