54 citations · 211 across the 6 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
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…