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Yiannis Ampatzidis
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2020 – today
- 2024
- [j29]Congliang Zhou, Won Suk Lee, Shuhao Zhang, Oscar E. Liburd, Alireza Pourreza
, John K. Schueller, Yiannis Ampatzidis:
A smartphone application for site-specific pest management based on deep learning and spatial interpolation. Comput. Electron. Agric. 218: 108726 (2024) - [j28]Marcelo Rodrigues Barbosa Júnior, Bruno Rafael de Almeida Moreira, Vinicius dos Santos Carreira
Precision agriculture in the United States: A comprehensive meta-review inspiring further research, innovation, and adoption. Comput. Electron. Agric. 221: 108993 (2024) - [j27]Zhaoyu Rui, Zhao Zhang, Man Zhang, Afshin Azizi, C. Igathinathane, Haiyan Cen, Stavros Vougioukas, Haigang Li, J. Zhang, Y. Jiang, X. Jiao, M. Wang, Yiannis Ampatzidis, O. I. Oladele, Mahdi Ghasemi-Varnamkhasti, Radi:
High-throughput proximal ground crop phenotyping systems - A comprehensive review. Comput. Electron. Agric. 224: 109108 (2024) - [j26]Fitsum T. Teshome, Haimanote K. Bayabil
Simulating soil hydrologic dynamics using crop growth and machine learning models. Comput. Electron. Agric. 224: 109186 (2024) - [j25]Fitsum T. Teshome, Haimanote K. Bayabil, Bruce Schaffer, Yiannis Ampatzidis, Gerrit Hoogenboom:
Improving soil moisture prediction with deep learning and machine learning models. Comput. Electron. Agric. 226: 109414 (2024) - [j24]Israel Ojo, Yiannis Ampatzidis
Oxytetracycline injection using automated trunk injection compared to manual injection systems for HLB-affected citrus trees. Comput. Electron. Agric. 226: 109430 (2024) - [j23]Xiaohang Liu, Zhao Zhang, C. Igathinathane
Infield corn kernel detection using image processing, machine learning, and deep learning methodologies under natural lighting. Expert Syst. Appl. 238(Part E): 122278 (2024) - [j22]Seyed Mohamad Javidan, Ahmad Banakar, Keyvan Asefpour Vakilian
Diagnosing the spores of tomato fungal diseases using microscopic image processing and machine learning. Multim. Tools Appl. 83(26): 67283-67301 (2024) - 2023
- [j21]Jeanette Hariharan, Yiannis Ampatzidis, Jaafar Abdulridha, Ozgur Batuman:
An AI-based spectral data analysis process for recognizing unique plant biomarkers and disease features. Comput. Electron. Agric. 204: 107574 (2023) - [j20]Fitsum T. Teshome, Haimanote K. Bayabil, Gerrit Hoogenboom, Bruce Schaffer, Aditya Singh, Yiannis Ampatzidis:
Unmanned aerial vehicle (UAV) imaging and machine learning applications for plant phenotyping. Comput. Electron. Agric. 212: 108064 (2023) - 2022
- [j19]Xue Zhou
Deep learning-based postharvest strawberry bruise detection under UV and incandescent light. Comput. Electron. Agric. 202: 107389 (2022) - [j18]Mohammad Momeny
Detection of citrus black spot disease and ripeness level in orange fruit using learning-to-augment incorporated deep networks. Ecol. Informatics 71: 101829 (2022) - 2021
- [j17]Lucas Costa, Yiannis Ampatzidis, Charles Rohla, Niels Maness, Becky Cheary, Lu Zhang
Measuring pecan nut growth utilizing machine vision and deep learning for the better understanding of the fruit growth curve. Comput. Electron. Agric. 181: 105964 (2021) - [j16]Leon Nunes
Horse foraging behavior detection using sound recognition techniques and artificial intelligence. Comput. Electron. Agric. 183: 106080 (2021) - [j15]Victor Partel, Lucas Costa, Yiannis Ampatzidis:
Smart tree crop sprayer utilizing sensor fusion and artificial intelligence. Comput. Electron. Agric. 191: 106556 (2021) - 2020
- [j14]Lucas Costa, Leon Nunes, Yiannis Ampatzidis:
A new visible band index (vNDVI) for estimating NDVI values on RGB images utilizing genetic algorithms. Comput. Electron. Agric. 172: 105334 (2020) - [j13]Yiannis Ampatzidis, Victor Partel, Lucas Costa:
Agroview: Cloud-based application to process, analyze and visualize UAV-collected data for precision agriculture applications utilizing artificial intelligence. Comput. Electron. Agric. 174: 105457 (2020) - [j12]Jaafar Abdulridha, Yiannis Ampatzidis
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. 12(17): 2732 (2020) - [c8]Jeanette Hariharan, Yiannis Ampatzidis, Jaafar Abdulridha:
The Basis for Development of a Foundational Biomarker Reflectance Signature Database System for Plant Cell Identification, Disease Detection, and Classification Purposes. CCWC 2020: 881-887 - [c7]Jaafar Abdulridha, Yiannis Ampatzidis, Pamela Roberts, Sri Charan Kakarla:
Detecting and monitoring the progress of powdery mildew disease in squash using hyperspectral imaging and artificial neural networks. ISAIM 2020 - [c6]Leon Nunes, Yiannis Ampatzidis, Lucas Costa, Marcelo Wallau:
Horse foraging behavior detection using Recurrent Neural Networks. ISAIM 2020 - [c5]Victor Partel, Jinho Kim, Lucas Costa, Panos M. Pardalos, Yiannis Ampatzidis:
Smart Sprayer for Precision Weed Control Using Artificial Intelligence: Comparison of Deep Learning Frameworks. ISAIM 2020
2010 – 2019
- 2019
- [j11]Jaafar Abdulridha, Reza Ehsani, Amr H. Abd-Elrahman
A remote sensing technique for detecting laurel wilt disease in avocado in presence of other biotic and abiotic stresses. Comput. Electron. Agric. 156: 549-557 (2019) - [j10]Alberto C. Cruz, Yiannis Ampatzidis
Detection of grapevine yellows symptoms in Vitis vinifera L. with artificial intelligence. Comput. Electron. Agric. 157: 63-76 (2019) - [j9]Victor Partel, Sri Charan Kakarla, Yiannis Ampatzidis
Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence. Comput. Electron. Agric. 157: 339-350 (2019) - [j8]Victor Partel, Leon Nunes
Automated vision-based system for monitoring Asian citrus psyllid in orchards utilizing artificial intelligence. Comput. Electron. Agric. 162: 328-336 (2019) - [j7]Yiannis Ampatzidis, Victor Partel, Bo Meyering, Ute Albrecht:
Citrus rootstock evaluation utilizing UAV-based remote sensing and artificial intelligence. Comput. Electron. Agric. 164 (2019) - [j6]Yiannis Ampatzidis
UAV-Based High Throughput Phenotyping in Citrus Utilizing Multispectral Imaging and Artificial Intelligence. Remote. Sens. 11(4): 410 (2019) - [j5]Jaafar Abdulridha, Ozgur Batuman
UAV-Based Remote Sensing Technique to Detect Citrus Canker Disease Utilizing Hyperspectral Imaging and Machine Learning. Remote. Sens. 11(11): 1373 (2019) - [j4]Jeanette Hariharan, John Fuller, Yiannis Ampatzidis
Finite Difference Analysis and Bivariate Correlation of Hyperspectral Data for Detecting Laurel Wilt Disease and Nutritional Deficiency in Avocado. Remote. Sens. 11(15): 1748 (2019) - [c4]Alberto C. Cruz, Yiannis Ampatzidis, Luigi De Bellis, Roberto Pierro
Automatic Diagnosis of Olive Quick Decline Syndrome and Grapevine Yellows for the Agriculture Industry. AI4I 2019: 9-12 - 2018
- [j3]Jaafar Abdulridha
Evaluating the performance of spectral features and multivariate analysis tools to detect laurel wilt disease and nutritional deficiency in avocado. Comput. Electron. Agric. 155: 203-211 (2018) - [j2]Sheriff Sadiqbatcha, Saeed Jafarzadeh, Yiannis Ampatzidis
Particle Swarm Optimization for Solving a Class of Type-1 and Type-2 Fuzzy Nonlinear Equations. J. Artif. Intell. Soft Comput. Res. 8(2): 103-110 (2018) - 2017
- [c3]Sheriff Sadiqbatcha, Saeed Jafarzadeh, Yiannis Ampatzidis
Particle swarm optimization for solving a class of type-1 and type-2 fuzzy nonlinear equations. FUZZ-IEEE 2017: 1-5 - 2016
- [j1]Yiannis Ampatzidis
Cloud-based harvest management information system for hand-harvested specialty crops. Comput. Electron. Agric. 122: 161-167 (2016) - 2013
- [c2]Li Tan, Ronald Haley, Riley Wortman, Yiannis Ampatzidis
An integrated cloud-based platform for labor monitoring and data analysis in precision agriculture. IRI 2013: 349-356 - 2011
- [c1]Yiannis Ampatzidis, Stavros Vougioukas, Matthew D. Whiting:
Simulation of Bin Loading Process During Manual Harvest of Specialty Crops Using the Machine Repair Model. HAICTA 2011: 309-319
Coauthor Index
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last updated on 2024-10-07 21:21 CEST by the dblp team
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