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Yiannis Ampatzidis

Explore the profile of Yiannis Ampatzidis including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 6
Citations 48
Followers 0
Related Specialties
Biotechnology
Social Sciences
Top 10 Co-Authors
Luigi De Bellis
Andrea Luvisi
Albert C Cruz
Sri Charan Kakarla
Kamran Rahnama
Erika Sabella
Naeem Khan
Reza Ehsani
Ahmad Banakar
Paolo Cherubini
Published In
Front Plant Sci
Plant Genome
Foods
Heliyon
Affiliations
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Recent Articles
1.
Enhancing genomic-based forward prediction accuracy in wheat by integrating UAV-derived hyperspectral and environmental data with machine learning under heat-stressed environments
McBreen J, Babar M, Jarquin D, Ampatzidis Y, Khan N, Kunwar S, et al.
Plant Genome . 2025 Jan; 18(1):e20554. PMID: 39779660
Integrating genomic, hyperspectral imaging (HSI), and environmental data enhances wheat yield predictions, with HSI providing detailed spectral insights for predicting complex grain yield (GY) traits. Incorporating HSI data with single...
2.
Early detection and spectral signature identification of tomato fungal diseases ( and ) by RGB and hyperspectral image analysis and machine learning
Javidan S, Banakar A, Asefpour Vakilian K, Ampatzidis Y, Rahnama K
Heliyon . 2024 Oct; 10(19):e38017. PMID: 39386810
Early identification of plant fungal diseases is critical for timely treatment, which can prevent significant agricultural losses. While molecular analysis offers high accuracy, it is often expensive and time-consuming. In...
3.
Development of an Innovative Optoelectronic Nose for Detecting Adulteration in Quince Seed Oil
Abdanan Mehdizadeh S, Noshad M, Chaharlangi M, Ampatzidis Y
Foods . 2024 Jan; 12(23). PMID: 38231827
In this study, an innovative odor imaging system capable of detecting adulteration in quince seed edible oils mixed with sunflower oil and sesame oil based on their volatile organic compound...
4.
Identification and Classification of Downy Mildew Severity Stages in Watermelon Utilizing Aerial and Ground Remote Sensing and Machine Learning
Abdulridha J, Ampatzidis Y, Qureshi J, Roberts P
Front Plant Sci . 2022 Jun; 13:791018. PMID: 35668798
Remote sensing and machine learning (ML) could assist and support growers, stakeholders, and plant pathologists determine plant diseases resulting from viral, bacterial, and fungal infections. Spectral vegetation indices (VIs) have...
5.
Editorial: Artificial Intelligence Applications in Specialty Crops
Kakarla S, Zhu Z, Ampatzidis Y, Fountas S, Ehsani R, Pardalos P
Front Plant Sci . 2022 May; 13:866724. PMID: 35528930
No abstract available.
6.
Specific Fluorescence Hybridization (FISH) Test to Highlight Colonization of Xylem Vessels by in Naturally Infected Olive Trees ( L.)
Cardinale M, Luvisi A, Meyer J, Sabella E, De Bellis L, Cruz A, et al.
Front Plant Sci . 2018 Apr; 9:431. PMID: 29681910
The colonization behavior of the strain CoDiRO, the causal agent of olive quick decline syndrome (OQDS), within the xylem of L. is still quite controversial. As previous literature suggests, even...
7.
X-FIDO: An Effective Application for Detecting Olive Quick Decline Syndrome with Deep Learning and Data Fusion
Cruz A, Luvisi A, De Bellis L, Ampatzidis Y
Front Plant Sci . 2017 Oct; 8:1741. PMID: 29067037
We have developed a vision-based program to detect symptoms of Olive Quick Decline Syndrome (OQDS) on leaves of L. infected by , named X-FIDO ( FastIdiosa Detector for L.). Previous...