CHRISTIAN FRASCONI
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Christian Frasconi is an Associate Professor at Università di Pisa, Italy. His research focuses on robotics in agriculture, sustainability, and biodiversity, as evidenced by recent articles on field robots, economic performance of organic practices, and the impact of autonomous mowers on plant biodiversity. He is actively involved in developing innovative methodologies for agricultural efficiency and environmental conservation.
Articles (20)
A Biodiversity Monitoring Case Study in Viticulture: Manual and Digitalized Collaborative Methodology to Pursue the European Commission’s Sustainable Challenges
The European Commission (EC) promotes policies addressing the needs of a growing human population while adhering to ecological principles that ensure ecosystem sustainability. Viticulture, one of the most widespread cultivations in the world, is, at the same time, one of the most environmentally impactful cultivations. Many studies have been conducted worldwide to identify more sustainable practices because vine monoculture, when repeated for long periods in the same territory, combined with low attention to the agronomic balance of vineyards, is causing biodiversity loss. The study aims to implement analytics for the accounting of biodiversity supported by digital tools like smart applications and digital platforms. Two farms were analyzed in a vacated area for red wine production in the center of Tuscany (Italy). A conventional biodiversity assessment protocol was used to evaluate the magnitude of biodiversity. Smartphone applications and a digital database creation platform supported this. The results highlighted an overall low level of biodiversity from a biodiversity perspective, while the use of smart applications and digital platforms represents an efficient tool for mitigating recognition errors in flora and fauna assessments and a powerful instrument for monitoring and tracking farm biodiversity. The study provides an overview of biodiversity status in a wine production area and a methodology to make its assessment easier and more reliable.
Year:
2024
Collaborators (9)
Mino Sportelli
University of Pisa
Andrea Peruzzi
University of Pisa
MICHELE RAFFAELLI
Professor
University of Pisa
Marco Fontanelli
University of Pisa
Marco Volterrani
University of Pisa
ALBERTO MINELLI
Assistant professor
University of Bologna
Daniele Sarri
University of Florence
Daniele Antichi
Assistant professor
University of Pisa
Manuel Pérez Ruiz
Profesor Contratado Doctor
Universidad de Sevilla

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