A5011455265- Remote Sensing in Agriculture
- Climate change impacts on agriculture
- Remote Sensing and LiDAR Applications
- Biliary and Gastrointestinal Fistulas
- Abdominal Surgery and Complications
- 3D Surveying and Cultural Heritage
- Digestive system and related health
- Remote Sensing and Land Use
- Smart Agriculture and AI
- Diverticular Disease and Complications
- Crop Yield and Soil Fertility
- Land Use and Ecosystem Services
- Helicobacter pylori-related gastroenterology studies
- Pancreatitis Pathology and Treatment
- Cancer Cells and Metastasis
- Medical and Health Sciences Research
- Cytokine Signaling Pathways and Interactions
- Urban Heat Island Mitigation
- Psoriasis: Treatment and Pathogenesis
- Energy and Environment Impacts
- Celiac Disease Research and Management
- Inflammatory Bowel Disease
- Liver Disease Diagnosis and Treatment
- Social Acceptance of Renewable Energy
- Liver Diseases and Immunity
Ricerca sul Sistema Energetico (Italy)
2025
Joint Research Centre
2023-2024
Politecnico di Milano
2018-2020
University of Rome Tor Vergata
1996-2015
Policlinico San Matteo Fondazione
2013
Fondazione IRCCS Istituto Neurologico Carlo Besta
2008
Università di Camerino
1996
Colorectal cancers (CRCs) often show a dense infiltrate of cytokine-producing immune/inflammatory cells. The exact contribution each immune cell subset and cytokine in the activation intracellular pathways sustaining CRC growth is not understood. Herein, we isolate tumor-infiltrating leukocytes (TILs) lamina propria mononuclear cells (LPMCs) from tumor area macroscopically unaffected, adjacent, colonic mucosa patients who underwent resection for sporadic that culture supernatants TILs, but...
Decarbonization strategies aim at increasing renewable energy source (RES) capacity, including new photovoltaic (PV) systems. Utility-scale PV installations are often placed in agricultural areas, resulting a reduction land and affecting the environment. To balance policies, development should not limit purposes, allowing sustainable exploitation under specific technological environmental conditions, particularly areas of actual or potential abandonment. Studying abandonment is complex due...
In this article, we propose an automatic procedure for classification of UAV imagery to map weed presence in rice paddies at early stages the growing cycle. The objective was produce a (common weeds and cover crop remnants) support variable rate technologies site-specific management. A multi-spectral ortho-mosaic, derived from images acquired by Parrot Sequoia sensor mounted on quadcopter, classified through unsupervised clustering algorithm; cluster labelling into 'weed'/'no weed' classes...
This paper focuses on the use of ultra-high resolution Unmanned Aircraft Systems (UAS) imagery to classify tree species. Multispectral surveys were performed a plant nursery produce Digital Surface Models and orthophotos with ground sample distance equal 0.01 m. Different combinations multispectral images, multi-temporal data, texture measures employed improve classification. The Grey Level Co-occurrence Matrix was used generate images different window sizes procedures for optimal features...
// Veronica De Simone 1 , Giulia Ronchetti Eleonora Franzè Alfredo Colantoni Angela Ortenzi Massimo C. Fantini Angelamaria Rizzo Giuseppe S. Sica 2 Pierpaolo Sileri Piero Rossi Thomas T. MacDonald 3 Francesco Pallone Giovanni Monteleone and Carmine Stolfi Department of Systems Medicine, University Rome "Tor Vergata", Rome, Italy Surgery, Centre for Immunology Infectious Disease, Blizard Institute Cell Molecular Science, Barts the London School Medicine Dentistry, London, UK Correspondence...
Operational crop yield forecasting services typically provides forecasts based on regression models between official yields and agro-environmental variables, among which meteorological data, simulation model or satellite-derived indicators. The reliability with these variables infer depends, many other factors, also their aggregation in the space domain, for example type of masks utilized process from point to regional scale. This work investigates how explanatory power indicators is...
Fulminant hepatitis (FH) is a disease characterized by massive destruction of hepatocytes with severe impairment liver function. The pathogenesis FH not fully understood, but hyperactivity T cells and macrophages excessive production cytokines are important hallmarks the condition. In this study, we investigated role interleukin (IL)-25 in FH. IL-25 expression was evaluated patients livers mice induced D-galactosamine (D-Gal) lipopolysaccharide (LPS). Mice were treated before...
This paper is about the geometric and radiometric consistency of diverse overlapping datasets acquired with Parrot Sequoia camera. The multispectral imagery were above agricultural fields in Northern Italy calibration images taken before each flight. Processing was performed Pix4Dmapper suite following a single-block approach: different flight missions processed as many projects, where block orientation strategies adopted compared. Results assessed terms areas. evaluated point cloud distance...
Climate change and competition among water users are increasingly leading to a reduction of availability for irrigation; at the same time, traditionally non-irrigated crops require irrigation achieve high quality standards. In context precision agriculture, particular attention is given optimization on-farm management, based on knowledge within-field variability crop soil properties, increase yield ensure an efficient use. Unmanned Aerial Vehicle (UAV) imagery used in agriculture monitor...
The growth of photovoltaic (PV) installations is essential for the global energy transition; however, comprehensive data regarding their spatial distribution are limited, which complicates effective planning. This research introduces a methodology automatic recognition ground-mounted PV systems in Italy, using semantic segmentation and Sentinel-2 RGB images with resolution 10 m. objective this to accurately identify both locations sizes these installations, estimate capacity, facilitate...
The development of rooftop photovoltaic (RPV) systems presents significant advantages for energy and territorial planning, including the utilization existing urban spaces decentralization production. This study investigates factors influencing RPV adoption across Italy, focusing on economic, demographic, environmental, socio-cultural dimensions.Using a multi-scale framework, we analyzed patterns at national, electric market area, regional levels through four complementary modeling...
Climate issues are nowadays one of the most pressing societal challenges, with cities being identified among landmarks for climate change. This study investigates effect urban land cover composition on a relevant climate-related variable, i.e., air temperature. The analysis exploits different big geo-data sources, namely high-resolution satellite imagery and in-situ temperature observations, using city Milan (Northern Italy) as case study. Satellite from Landsat 8, Sentinel-2, RapidEye...
Abstract. The availability of coherent time series crop statistics is essential for better analyzing the past, understanding present, and predicting future trends in yield, area, production. Importantly, such data also underpin assessments subsequent policy actions that can shape food systems are more resilient face climate change sustainable terms resource use efficiency. In European Union (EU), there currently no legal obligation EU countries to provide subnational statistics. However,...
Soil electrical conductivity (EC) maps obtained through proximal soil sensing (i.e., geophysical data) are usually considered to delineate homogeneous site-specific management zones (SSMZ), used in Precision Agriculture improve crop production. The recent literature recommends the integration of monitoring data with information acquired multispectral (VIS-NIR) imagery. In non-flat areas, where topography can influence water conditions and consequently status yield, considering together may...
Abstract. Precision agriculture recommends a sustainable employment of nutrients and water, according to the site-specific crop requirements. In this context, knowledge soil characteristics allows appropriately manage resources. Even topography can influence spatial distribution water on field. This work focuses production high-resolution Digital Terrain Model (DTM) in by photogrammetric processing fisheye images, acquired with very light Unmanned Aerial Vehicle (UAV). Particular attention...
Abstract. The availability of coherent time series crop statistics is essential to better analyze the past, understand present, and predict future trends in yield, area, production. Importantly, such data also underpin assessments subsequent policy actions that can shape food systems are more resilient face climate change sustainable terms resource use efficiency. In European Union (EU), there currently no legal obligation for EU countries provide subnational statistics. Yet, could improve...
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