Rural On AIr

Rural On AIr AI-LAB is a digital communication tool that supports information and knowledge transfer of the outputs generated by the Italian CAP Network for the agricultural sector and rural development.
In this podcast, Mario Cariello (CREA PB) reviews the scientific article "Characterization of Polyphenols in a Sicilian Autochthonous White Grape Variety (PDO) for Monitoring Production Process and Shelf-Life of Wines", published in the journal Agriculture, and, through the use of artificial intelligence, produces an informative podcast that explores its main findings.

The study investigates the physicochemical and polyphenolic characteristics of Sicilian Grillo wines produced between 2011 and 2021. Using chromatographic techniques and chemometric analyses, researchers examined how wine composition changes over time and whether specific compounds can be used to monitor wine evolution, authenticity, and shelf-life.

The results revealed the presence of three distinct groups of wines corresponding to different production periods. While pH and soluble solids content remained relatively stable, several polyphenolic compounds showed significant variations across vintages. These differences appear to be linked not only to wine aging but also to modifications in the winemaking process, including changes in clarification practices.

The research highlights the potential of polyphenols as reliable markers for identifying wine vintages, assessing production processes, and monitoring the long-term evolution of one of Sicily's most important native white grape varieties.

Rapa, M.; Giannetti, V.; Boccacci Mariani, M. Characterization of Polyphenols in a Sicilian Autochthonous White Grape Variety (PDO) for Monitoring Production Process and Shelf-Life of Wines. Agriculture 2022, 12, 1888. 
DOI: https://doi.org/10.3390/agriculture12111888

Authors of the scientific article:
Mattia Rapa (Sapienza University of Rome), Vanessa Giannetti (Sapienza University of Rome), and Maurizio Boccacci Mariani (Sapienza University of Rome).

Rural On AIr AI-LAB is a digital communication tool that supports information and knowledge transfer of all outputs of Italian CAP Network to the Italian agricultural sector and rural development.
In this podcast, Mario Cariello (CREA PB) reviewed the scientific article "Bridging the Gap: The Impact of Compensatory Measures on Mountain Farming in Piedmont" originally published on Bio-Based and Applied Economics, Special Issue 13th AIEAA Conference and, through the use of artificial intelligence, produced a podcast that describes its contents in an informative way.


This  study examines  the  impact of  the  Rural Development  Program  (RDP) on reducing  income disparities  between farms  in  mountainous and  non-mountainous  areas in  Piedmont.  Using Farm Accounting  Data  Network data  from  2012–2022, the  analysis  focuses on  cattle,  sheep and goats, and fruit farms. The findings  indicate  that significant  income  disparities are  primarily  observed in  small  farms specialized in cattle and sheep and goats, with mountain farms facing a net shortfall. While compensatory allowance support helps reduce this gap a substantial  disparity  remains. Bridging the gap entirely would require doubling compensatory payments, though alternative strategies are discussed.

DOI: https://doi.org/10.36253/bae-16852
Authors of the scientific article:
Moino, F. (CREA PB), Giacardi, A. (Università di Roma La Sapienza), Califano, G. (Università degli Studi di Napoli Federico II), & Cagliero, R. (CREA PB)

ModernAKIS – Modernisation of Agriculture through more efficient and effective Agricultural Knowledge and Innovation Systems is a Horizon Europe project that aims to strengthen the systemic capacities of AKIS (Agricultural Knowledge and Innovation Systems) actors at the individual, organizational, and system levels. The goal is to contribute to the transformation of AKIS by making them more coherent, effective, and efficient, in order to support the transition towards sustainable management of natural resources in agriculture and forestry.

This podcast was created with the help of artificial intelligence.
The concept, script, and content were developed by Simona Cristiano and Mario Cariello, with AI tools used to support the production process.

ModernAKIS – Modernisation of Agriculture through more efficient and effective Agricultural Knowledge and Innovation Systems is a Horizon Europe project that aims to strengthen the systemic capacities of AKIS (Agricultural Knowledge and Innovation Systems) actors at the individual, organizational, and system levels. The goal is to contribute to the transformation of AKIS by making them more coherent, effective, and efficient, in order to support the transition towards sustainable management of natural resources in agriculture and forestry.

This podcast was created with the help of artificial intelligence.
The concept, script, and content were developed by Simona Cristiano and Mario Cariello, with AI tools used to support the production process.

Rural On AIr AI-LAB is a digital communication tool that supports information and knowledge transfer of all outputs of the National Rural Network to the Italian agricultural sector and rural development.
In this podcast, Mario Cariello (CREA PB) reviewed the scientific article "Lessons learned from existing carbon removal methodologies for agricultural soils to drive European Union policies" originally published on Volume 75, Issue 5 of the European Journal of Soil Science by CREA and Teagasc researchers and, through the use of artificial intelligence, produced a podcast that describes its contents in an informative way.
The article focuses on carbon sequestration in agricultural soils and presents a detailed and critical analysis of carbon credits methodologies and regulations. In particular, the European Commission’s proposal for a regulation on carbon removals is compared with certification schemes developed in some extra-EU countries (such as Australia, Alberta in Canada and USA) to provide recommendations to policy makers to strengthen the European legislation under development.

DOI: https://doi.org/10.1111/ejss.13577
Authors of the scientific article:
Irene Criscuoli, Andrea Martelli, Ilaria Falconi, Francesco Galioto, Maria Valentina Lasorella, Stefania Maurino, Avion Phillips, Guido Bonati, Giovanni Dara Guccione.