apples

Abdul Kareem, Razia Sulthana ORCID: https://orcid.org/0000-0001-5331-1310, Frost, Nageena, Goodall, Iain, Tilford, Timothy ORCID: https://orcid.org/0000-0001-8307-6403 and Palacios, Ana Paula (2024) Machine learning to detect fungal infections in stored pome fruits via mass spectrometry data: industry, economic, and social implications. Journal of Advances in Information Technology, 15 (10). pp. 1174-1183. ISSN 1798-2340 (Print), 1798-2340 (Online) (doi:10.12720/jait.15.10.1174-1183)

Yaji, Asoo, Harte, Steven ORCID: https://orcid.org/0000-0001-9628-7912, Goodall, Iain and Colgan, Richard ORCID: https://orcid.org/0000-0002-0653-5845 (2023) Volatile organic compounds associated with neonectria ditissima infection in apples (Malus pumila cv Gala). In: 12th International Congress of Plant Pathology, 20th - 25th Aug, 2023, Lyon, France.

fungal infections

Abdul Kareem, Razia Sulthana ORCID: https://orcid.org/0000-0001-5331-1310, Frost, Nageena, Goodall, Iain, Tilford, Timothy ORCID: https://orcid.org/0000-0001-8307-6403 and Palacios, Ana Paula (2024) Machine learning to detect fungal infections in stored pome fruits via mass spectrometry data: industry, economic, and social implications. Journal of Advances in Information Technology, 15 (10). pp. 1174-1183. ISSN 1798-2340 (Print), 1798-2340 (Online) (doi:10.12720/jait.15.10.1174-1183)

fungi

Yaji, Asoo, Harte, Steven ORCID: https://orcid.org/0000-0001-9628-7912, Goodall, Iain and Colgan, Richard ORCID: https://orcid.org/0000-0002-0653-5845 (2023) Volatile organic compounds associated with neonectria ditissima infection in apples (Malus pumila cv Gala). In: 12th International Congress of Plant Pathology, 20th - 25th Aug, 2023, Lyon, France.

machine learning

Abdul Kareem, Razia Sulthana ORCID: https://orcid.org/0000-0001-5331-1310, Frost, Nageena, Goodall, Iain, Tilford, Timothy ORCID: https://orcid.org/0000-0001-8307-6403 and Palacios, Ana Paula (2024) Machine learning to detect fungal infections in stored pome fruits via mass spectrometry data: industry, economic, and social implications. Journal of Advances in Information Technology, 15 (10). pp. 1174-1183. ISSN 1798-2340 (Print), 1798-2340 (Online) (doi:10.12720/jait.15.10.1174-1183)

mass spectrometry

Abdul Kareem, Razia Sulthana ORCID: https://orcid.org/0000-0001-5331-1310, Frost, Nageena, Goodall, Iain, Tilford, Timothy ORCID: https://orcid.org/0000-0001-8307-6403 and Palacios, Ana Paula (2024) Machine learning to detect fungal infections in stored pome fruits via mass spectrometry data: industry, economic, and social implications. Journal of Advances in Information Technology, 15 (10). pp. 1174-1183. ISSN 1798-2340 (Print), 1798-2340 (Online) (doi:10.12720/jait.15.10.1174-1183)

neural networks

Abdul Kareem, Razia Sulthana ORCID: https://orcid.org/0000-0001-5331-1310, Frost, Nageena, Goodall, Iain, Tilford, Timothy ORCID: https://orcid.org/0000-0001-8307-6403 and Palacios, Ana Paula (2024) Machine learning to detect fungal infections in stored pome fruits via mass spectrometry data: industry, economic, and social implications. Journal of Advances in Information Technology, 15 (10). pp. 1174-1183. ISSN 1798-2340 (Print), 1798-2340 (Online) (doi:10.12720/jait.15.10.1174-1183)

pathogen

Yaji, Asoo, Harte, Steven ORCID: https://orcid.org/0000-0001-9628-7912, Goodall, Iain and Colgan, Richard ORCID: https://orcid.org/0000-0002-0653-5845 (2023) Volatile organic compounds associated with neonectria ditissima infection in apples (Malus pumila cv Gala). In: 12th International Congress of Plant Pathology, 20th - 25th Aug, 2023, Lyon, France.

pome fruits

Abdul Kareem, Razia Sulthana ORCID: https://orcid.org/0000-0001-5331-1310, Frost, Nageena, Goodall, Iain, Tilford, Timothy ORCID: https://orcid.org/0000-0001-8307-6403 and Palacios, Ana Paula (2024) Machine learning to detect fungal infections in stored pome fruits via mass spectrometry data: industry, economic, and social implications. Journal of Advances in Information Technology, 15 (10). pp. 1174-1183. ISSN 1798-2340 (Print), 1798-2340 (Online) (doi:10.12720/jait.15.10.1174-1183)

secondary metabolites

Yaji, Asoo, Harte, Steven ORCID: https://orcid.org/0000-0001-9628-7912, Goodall, Iain and Colgan, Richard ORCID: https://orcid.org/0000-0002-0653-5845 (2023) Volatile organic compounds associated with neonectria ditissima infection in apples (Malus pumila cv Gala). In: 12th International Congress of Plant Pathology, 20th - 25th Aug, 2023, Lyon, France.