Yiannis Ampatzidis
Orcid: 0000-0002-3660-3298
According to our database1,
Yiannis Ampatzidis
authored at least 29 papers
between 2011 and 2024.
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Bibliography
2024
Infield corn kernel detection using image processing, machine learning, and deep learning methodologies under natural lighting.
Expert Syst. Appl., March, 2024
2023
Unmanned aerial vehicle (UAV) imaging and machine learning applications for plant phenotyping.
Comput. Electron. Agric., September, 2023
An AI-based spectral data analysis process for recognizing unique plant biomarkers and disease features.
Comput. Electron. Agric., 2023
2022
Detection of citrus black spot disease and ripeness level in orange fruit using learning-to-augment incorporated deep networks.
Ecol. Informatics, 2022
Deep learning-based postharvest strawberry bruise detection under UV and incandescent light.
Comput. Electron. Agric., 2022
2021
Comput. Electron. Agric., 2021
Horse foraging behavior detection using sound recognition techniques and artificial intelligence.
Comput. Electron. Agric., 2021
Measuring pecan nut growth utilizing machine vision and deep learning for the better understanding of the fruit growth curve.
Comput. Electron. Agric., 2021
2020
Laboratory and UAV-Based Identification and Classification of Tomato Yellow Leaf Curl, Bacterial Spot, and Target Spot Diseases in Tomato Utilizing Hyperspectral Imaging and Machine Learning.
Remote. Sens., 2020
A new visible band index (vNDVI) for estimating NDVI values on RGB images utilizing genetic algorithms.
Comput. Electron. Agric., 2020
Agroview: Cloud-based application to process, analyze and visualize UAV-collected data for precision agriculture applications utilizing artificial intelligence.
Comput. Electron. Agric., 2020
Smart Sprayer for Precision Weed Control Using Artificial Intelligence: Comparison of Deep Learning Frameworks.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2020
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2020
Detecting and monitoring the progress of powdery mildew disease in squash using hyperspectral imaging and artificial neural networks.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2020
The Basis for Development of a Foundational Biomarker Reflectance Signature Database System for Plant Cell Identification, Disease Detection, and Classification Purposes.
Proceedings of the 10th Annual Computing and Communication Workshop and Conference, 2020
2019
Finite Difference Analysis and Bivariate Correlation of Hyperspectral Data for Detecting Laurel Wilt Disease and Nutritional Deficiency in Avocado.
Remote. Sens., 2019
UAV-Based High Throughput Phenotyping in Citrus Utilizing Multispectral Imaging and Artificial Intelligence.
Remote. Sens., 2019
UAV-Based Remote Sensing Technique to Detect Citrus Canker Disease Utilizing Hyperspectral Imaging and Machine Learning.
Remote. Sens., 2019
Automated vision-based system for monitoring Asian citrus psyllid in orchards utilizing artificial intelligence.
Comput. Electron. Agric., 2019
Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence.
Comput. Electron. Agric., 2019
Detection of grapevine yellows symptoms in <i>Vitis vinifera</i> L. with artificial intelligence.
Comput. Electron. Agric., 2019
Citrus rootstock evaluation utilizing UAV-based remote sensing and artificial intelligence.
Comput. Electron. Agric., 2019
A remote sensing technique for detecting laurel wilt disease in avocado in presence of other biotic and abiotic stresses.
Comput. Electron. Agric., 2019
Automatic Diagnosis of Olive Quick Decline Syndrome and Grapevine Yellows for the Agriculture Industry.
Proceedings of the Second International Conference on Artificial Intelligence for Industries, 2019
2018
Particle Swarm Optimization for Solving a Class of Type-1 and Type-2 Fuzzy Nonlinear Equations.
J. Artif. Intell. Soft Comput. Res., 2018
Evaluating the performance of spectral features and multivariate analysis tools to detect laurel wilt disease and nutritional deficiency in avocado.
Comput. Electron. Agric., 2018
2016
Cloud-based harvest management information system for hand-harvested specialty crops.
Comput. Electron. Agric., 2016
2013
An integrated cloud-based platform for labor monitoring and data analysis in precision agriculture.
Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013
2011
Simulation of Bin Loading Process During Manual Harvest of Specialty Crops Using the Machine Repair Model.
Proceedings of the 5th International Conference on Information and Communication Technologies for Sustainable Agri-production and Environment (HAICTA 2011), 2011