Francesco Marinello
Biographic Data
| ID | 6569259 |
|---|---|
| NAME | Francesco Marinello |
| GIVEN NAMES | Francesco |
| FAMILY NAME | Marinello |
| SIGNATURE | MARINELLO F |
| AFFILIATIONS | University of Padua |
| ORCID | 0000-0002-3283-5665 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
How AI and Digital Technologies Can Enhance Sustainable Livestock Manure Management
Sustainable livestock manure management sits at the nexus of climate, nutrient circularity and water quality. This review explores how artificial intelligence (AI) and digital platforms are used across four management stages, that is, treatment, storage, valorisation and distribution, and figures out where integration fails to deliver auditable outcomes. A PRISMA‐guided search (2000–2025) identified 461 records, screened 91 articles; a 68‐study c…
Integrating Building Footprints and Bioenergy Potential to Support Effective Decentralised Energy Planning
This study develops a high‐resolution workflow to assess rural bioenergy gaps by integrating building‐based energy demand and locally collectable biomass supply across Jianghan Plain, China. Building footprint, height and density were extracted from the 10 m 3D‐GloBFP dataset and aggregated to 1 km grids to approximate demand intensity. County‐level crop straw and livestock manure data were downscaled to generate 1 km supply layers. Subtracting d…
Africa's protected areas are brightening at night
Africa's protected areas are brightening at night
Integrating Building Footprints and Bioenergy Potential to Support Effective Decentralised Energy Planning
This study develops a high‐resolution workflow to assess rural bioenergy gaps by integrating building‐based energy demand and locally collectable biomass supply across Jianghan Plain, China. Building footprint, height and density were extracted from the 10 m 3D‐GloBFP dataset and aggregated to 1 km grids to approximate demand intensity. County‐level crop straw and livestock manure data were downscaled to generate 1 km supply layers. Subtracting d…
How AI and Digital Technologies Can Enhance Sustainable Livestock Manure Management
Sustainable livestock manure management sits at the nexus of climate, nutrient circularity and water quality. This review explores how artificial intelligence (AI) and digital platforms are used across four management stages, that is, treatment, storage, valorisation and distribution, and figures out where integration fails to deliver auditable outcomes. A PRISMA‐guided search (2000–2025) identified 461 records, screened 91 articles; a 68‐study c…
Agriculture Sustainability and Environmental Impact (1 work) · Artificial light (1 work) · Bioenergy (1 work) · Biology (1 work) · Biomass (ecology (1 work) · Control (management (1 work) · Ecological footprint (1 work) · Ecology (1 work) · Economic and Environmental Valuation (1 work) · Energy Efficiency and Management (1 work)