Marco Camardo Leggieri
Biographic Data
| ID | 7999522 |
|---|---|
| NAME | Marco Camardo Leggieri |
| GIVEN NAMES | Marco Camardo |
| FAMILY NAME | Leggieri |
| SIGNATURE | LEGGIERI M C |
| AFFILIATIONS | Università Cattolica del Sacro Cuore |
| ORCID | 0000-0002-6547-7702 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Predicting aflatoxin risk with seasonal meteorological forecast
Aflatoxin contamination in maize ( Zea mays ), primarily caused by Aspergillus flavus , is strongly influenced by meteorological conditions and remains a major food safety concern. Predictive models have been developed to support contamination risk assessment and management strategies, typically relying on meteorological data from local weather stations. While these inputs offer high accuracy, their limited spatial coverage and lack of forecastin…
Public perception of new plant breeding techniques and the psychosocial determinants of acceptance
Advancements in New Plant Breeding Techniques have emerged as promising tools for enhancing crop productivity, quality, and resilience in the face of global challenges, such as climate change and food security. However, the successful implementation of these techniques relies also on public acceptance of this innovation. Understanding what shapes public perception and acceptance of New Plant Breeding Techniques is crucial for effective science co…
No prominent works on this page.
Public perception of new plant breeding techniques and the psychosocial determinants of acceptance
Advancements in New Plant Breeding Techniques have emerged as promising tools for enhancing crop productivity, quality, and resilience in the face of global challenges, such as climate change and food security. However, the successful implementation of these techniques relies also on public acceptance of this innovation. Understanding what shapes public perception and acceptance of New Plant Breeding Techniques is crucial for effective science co…
Predicting aflatoxin risk with seasonal meteorological forecast
Aflatoxin contamination in maize ( Zea mays ), primarily caused by Aspergillus flavus , is strongly influenced by meteorological conditions and remains a major food safety concern. Predictive models have been developed to support contamination risk assessment and management strategies, typically relying on meteorological data from local weather stations. While these inputs offer high accuracy, their limited spatial coverage and lack of forecastin…
Aflatoxin (1 work) · Climate Forecast System (1 work) · Contamination (1 work) · Decision support system (1 work) · Early warning system (1 work) · Forecast skill (1 work) · Indoor Air Quality and Microbial Exposure (1 work) · Mycotoxins in Agriculture and Food (1 work) · Pesticide Residue Analysis and Safety (1 work) · Risk assessment (1 work)