Y. Ampatzidis

发表

Determining leaf stomatal properties in citrus trees utilizing machine vision and artificial intelligence

G. Caurin, U. Albrecht, Lucas Costa, 2020, Precision Agriculture.

Nonlinear Model Predictive Path Tracking for Precision Guidance

S. Vougioukas, Y. Ampatzidis, N. Sigrimis, 2007 .

Oil Prices, the Housing Market, and Spillover Effects: Evidence from California’s Central Valley

Nyakundi M. Michieka, Richard Gearhart, Y. Ampatzidis, 2021 .

Identification and Classification of Downy Mildew Severity Stages in Watermelon Utilizing Aerial and Ground Remote Sensing and Machine Learning

Y. Ampatzidis, J. Qureshi, J. Abdulridha, 2022, Frontiers in Plant Science.

Detecting powdery mildew disease in squash at different stages using UAV-based hyperspectral imaging and artificial intelligence

Sri Charan Kakarla, Y. Ampatzidis, J. Abdulridha, 2020, Biosystems Engineering.

Yield sensing technologies for perennial and annual horticultural crops: a review

L. Longchamps, S. Fountas, R. Khosla, 2022, Precision Agriculture.

PREDICTION OF MORPHO-PHYSIOLOGICAL TRAITS IN SUGARCANE USING AERIAL IMAGERY AND MACHINE LEARNING

H. Sandhu, Lucas Costa, Y. Ampatzidis, 2022, Smart Agricultural Technology.

Voice-Controlled and Wireless Solid Set Canopy Delivery (VCW-SSCD) System for Mist-Cooling

Y. Ampatzidis, L. Ferguson, R. Abdolee, 2018 .

Diagnosis of Grape Leaf Diseases Using Automatic K-Means Clustering and Machine Learning

K. A. Vakilian, A. Banakar, Y. Ampatzidis, 2022, SSRN Electronic Journal.

Tree-Level Citrus Yield Prediction Utilizing Ground and Aerial Machine Vision and Machine Learning

Lucas Costa, Y. Ampatzidis, Vinay Vijayakumar, 2022, SSRN Electronic Journal.

Development and evaluation of a mobile thermotherapy technology for in-field treatment of Huanglongbing (HLB) affected trees

R. Ehsani, A. Balafoutis, Y. Ampatzidis, 2019, Biosystems Engineering.

Specific Fluorescence in Situ Hybridization (FISH) Test to Highlight Colonization of Xylem Vessels by Xylella fastidiosa in Naturally Infected Olive Trees (Olea europaea L.)

Andrea Luvisi, Albert C. Cruz, Yiannis Ampatzidis, 2018, Front. Plant Sci..

Using UAV-based hyperspectral imaging and functional regression to assist in predicting grain yield and related traits in wheat under heat-related stress environments for the purpose of stable yielding genotypes

Mostafa Reisi Gahrooei, Lucas Costa, Y. Ampatzidis, 2021, Precision Agriculture.

Deep learning-based postharvest strawberry bruise detection under UV and incandescent light

W. S. Lee, J. Schueller, Y. Ampatzidis, 2022, Comput. Electron. Agric..

Evaluation of Mobile Heat Treatment System for Treating In-Field HLB-Affected Trees by Analyzing Survival Rate of Surrogate Bacteria

R. Ehsani, Y. Ampatzidis, S. Ghatrehsamani, 2019, Agronomy.

Evaluating the performance of spectral features and multivariate analysis tools to detect laurel wilt disease and nutritional deficiency in avocado

Reza Ehsani, Yiannis Ampatzidis, Jaafar Abdulridha, 2018, Comput. Electron. Agric..

Determining leaf nutrient concentrations in citrus trees using UAV imagery and machine learning

U. Albrecht, Lucas Costa, Y. Ampatzidis, 2021, Precision Agriculture.

Detection of target spot and bacterial spot diseases in tomato using UAV-based and benchtop-based hyperspectral imaging techniques

Yiannis Ampatzidis, Jaafar Abdulridha, Sri Charan Kakarla, 2019, Precision Agriculture.

Measuring pecan nut growth utilizing machine vision and deep learning for the better understanding of the fruit growth curve

Lu Zhang, Yiannis Ampatzidis, Lucas Costa, 2021, Comput. Electron. Agric..

Automated vision-based system for monitoring Asian citrus psyllid in orchards utilizing artificial intelligence

Yiannis Ampatzidis, Victor Partel, Leon Nunes, 2019, Comput. Electron. Agric..

Yiannis Ampatzidis, Mostafa Reisi Gahrooei, Lucas Costa, 2021, Precision Agriculture.

UAV-based coffee yield prediction utilizing feature selection and deep learning

Yiannis Ampatzidis, Gabriel Araújo e Silva Ferraz, Lucas Costa, 2021, Smart Agricultural Technology.

Sweet cherry floral organ size varies with genotype and temperature

Y. Ampatzidis, M. Whiting, Lu Zhang, 2015 .

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

Yiannis Ampatzidis, Jaafar Abdulridha, Jawwad Qureshi, 2020, Remote. Sens..

Simulation and Evaluation of Heat Transfer Inside a Diseased Citrus Tree during Heat Treatment

R. Ehsani, J. Schueller, Y. Ampatzidis, 2021, AgriEngineering.

Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence

Yiannis Ampatzidis, Victor Partel, Sri Charan Kakarla, 2019, Comput. Electron. Agric..

Agroview: Cloud-based application to process, analyze and visualize UAV-collected data for precision agriculture applications utilizing artificial intelligence

Yiannis Ampatzidis, Victor Partel, Lucas Costa, 2020, Comput. Electron. Agric..

Detection of grapevine yellows symptoms in Vitis vinifera L. with artificial intelligence

Andrea Luvisi, Albert Cruz, Yiannis Ampatzidis, 2019, Comput. Electron. Agric..

Smart tree crop sprayer utilizing sensor fusion and artificial intelligence

Y. Ampatzidis, Victor Partel, L. Costa, 2021, Comput. Electron. Agric..

A new visible band index (vNDVI) for estimating NDVI values on RGB images utilizing genetic algorithms

Lucas Costa, Yiannis Ampatzidis, Leon Nunes, 2020, Comput. Electron. Agric..

Evaluation of a Ground Penetrating Radar to Map the Root Architecture of HLB-infected Citrus Trees

Ampatzidis, U. Albrecht, Y. Ampatzidis, 2019, Agronomy.

Training System Affects Sweet Cherry Harvest Efficiency

Yiannis Ampatzidis, Matthew D. Whiting, Y. Ampatzidis, 2013 .

Selecting Non-Linear Mixed Effect Model for Growth and Development of Pecan Nut

N. Maness, Y. Ampatzidis, C. Rohla, 2022, SSRN Electronic Journal.

UAV-Based Remote Sensing Technique to Detect Citrus Canker Disease Utilizing Hyperspectral Imaging and Machine Learning

Yiannis Ampatzidis, Jaafar Abdulridha, Ozgur Batuman, 2019, Remote. Sens..

Citrus rootstock evaluation utilizing UAV-based remote sensing and artificial intelligence

Yiannis Ampatzidis, Victor Partel, Ute Albrecht, 2019, Comput. Electron. Agric..

X-FIDO: An Effective Application for Detecting Olive Quick Decline Syndrome with Deep Learning and Data Fusion

Andrea Luvisi, Albert C. Cruz, Yiannis Ampatzidis, 2017, Front. Plant Sci..

Strawberry Maturity Classification from UAV and Near-Ground Imaging Using Deep Learning

Won Suk Lee, Yiannis Ampatzidis, Natalia Peres, 2021, Smart Agricultural Technology.

Smart Sprayer for Precision Weed Control Using Artificial Intelligence: Comparison of Deep Learning Frameworks

Jinho Kim, Panos Pardalos, Yiannis Ampatzidis, 2020, ISAIM.

A remote sensing technique for detecting laurel wilt disease in avocado in presence of other biotic and abiotic stresses

Amr H. Abd-Elrahman, Reza Ehsani, Yiannis Ampatzidis, 2019, Comput. Electron. Agric..

iPathology: Robotic Applications and Management of Plants and Plant Diseases

Andrea Luvisi, Yiannis Ampatzidis, Luigi De Bellis, 2017 .

UAV-Based High Throughput Phenotyping in Citrus Utilizing Multispectral Imaging and Artificial Intelligence

Yiannis Ampatzidis, Victor Partel, Y. Ampatzidis, 2019, Remote. Sens..

Sugarcane yield prediction and genotype selection using UAV‐based hyperspectral imaging and machine learning

H. Sandhu, Y. Ampatzidis, D. Odero, 2022, Agronomy Journal.

An AI-based spectral data analysis process for recognizing unique plant biomarkers and disease features

Y. Ampatzidis, O. Batuman, J. Abdulridha, 2023, Comput. Electron. Agric..

Finite Difference Analysis and Bivariate Correlation of Hyperspectral Data for Detecting Laurel Wilt Disease and Nutritional Deficiency in Avocado

Yiannis Ampatzidis, Jaafar Abdulridha, John Fuller, 2019, Remote. Sens..

Plant Pathology and Information Technology: Opportunity for Management of Disease Outbreak and Applications in Regulation Frameworks

Andrea Luvisi, Yiannis Ampatzidis, Luigi De Bellis, 2016 .

Precision nutrient management utilizing UAV multispectral imaging and artificial intelligence

Y. Ampatzidis, L. Costa, U. Albrecht, 2023, Acta Horticulturae.

Who Owns and Controls Farming Data?

Y. Ampatzidis, Ziwen Yu, A. De Vries, 2021, EDIS.

Unmanned aerial vehicle (UAV) imaging and machine learning applications for plant phenotyping

G. Hoogenboom, Y. Ampatzidis, H. Bayabil, 2023, Comput. Electron. Agric..

Grading and fraud detection of saffron via learning-to-augment incorporated Inception-v4 CNN

A. Jahanbakhshi, P. Radeva, Y. Ampatzidis, 2022, Food Control.

Detection of citrus black spot disease and ripeness level in orange fruit using learning-to-augment incorporated deep networks

A. Jahanbakhshi, Y. Ampatzidis, A. Neshat, 2022, Ecol. Informatics.

Horse foraging behavior detection using sound recognition techniques and artificial intelligence

Yiannis Ampatzidis, Leon Nunes, Marcelo Wallau, 2021, Comput. Electron. Agric..

Drone Injuries and Safety Recommendations

Y. Ampatzidis, S. Gorucu, 2021, EDIS.

Types of Unmanned Aerial Vehicles (UAVs), Sensing Technologies, and Software for Agricultural Applications

Sri Charan Kakarla, Y. Ampatzidis, 2021, EDIS.

Exploring deficit irrigation as a water conservation strategy: Insights from field experiments and model simulation

Y. Ampatzidis, H. Bayabil, Bruce Schaffer, 2023, Agricultural Water Management.

Early detection of tomato bacterial spot disease in transplant tomato seedlings utilising remote sensing and artificial intelligence

Y. Ampatzidis, Jeanette Hariharan, Vitor A. Gontijo da Cunha, 2023, Biosystems Engineering.

A smartphone application for site-specific pest management based on deep learning and spatial interpolation

Alireza Pourreza, J. Schueller, Y. Ampatzidis, 2024, Computers and Electronics in Agriculture.

An integrated cloud-based platform for labor monitoring and data analysis in precision agriculture

Li Tan, Yiannis Ampatzidis, Ronald Haley, 2013, 2013 IEEE 14th International Conference on Information Reuse & Integration (IRI).

Precision agriculture in the United States: A comprehensive meta-review inspiring further research, innovation, and adoption

Rouverson Pereira da Silva, L. Shiratsuchi, Y. Ampatzidis, 2024, Comput. Electron. Agric..

Portable weighing system for monitoring picker efficiency during manual harvest of sweet cherry

F. J. Pierce, Y. Ampatzidis, M. Whiting, 2013, Precision Agriculture.

A yield mapping system for hand-harvested fruits based on RFID and GPS location technologies: field testing

Y. G. Ampatzidis, S. G. Vougioukas, D. D. Bochtis, 2009, Precision Agriculture.

Feature engineering to identify plant diseases using image processing and artificial intelligence: a comprehensive review

K. A. Vakilian, Y. Ampatzidis, S. Javidan, 2024, Smart Agricultural Technology.

Automatic Diagnosis of Olive Quick Decline Syndrome and Grapevine Yellows for the Agriculture Industry

Andrea Luvisi, Albert C. Cruz, Yiannis Ampatzidis, 2019, 2019 Second International Conference on Artificial Intelligence for Industries (AI4I).

Cloud-based harvest management information system for hand-harvested specialty crops

Yiannis Ampatzidis, Ronald Haley, Li Tan, 2016, Comput. Electron. Agric..

High-throughput proximal ground crop phenotyping systems - A comprehensive review

Y. Ampatzidis, Zhaoyu Rui, Zhao Zhang, 2024, Comput. Electron. Agric..

Diagnosing the spores of tomato fungal diseases using microscopic image processing and machine learning

K. A. Vakilian, Y. Ampatzidis, S. Javidan, 2024, Multimedia Tools and Applications.

Tree Crop Yield Estimation and Prediction Using Remote Sensing and Machine Learning: A Systematic Review

Y. Ampatzidis, Carolina Trentin, Christian Lacerda, 2024, Smart Agricultural Technology.

The Basis for Development of a Foundational Biomarker Reflectance Signature Database System for Plant Cell Identification, Disease Detection, and Classification Purposes

Yiannis Ampatzidis, Jaafar Abdulridha, Jeanette Hariharan, 2020, 2020 10th Annual Computing and Communication Workshop and Conference (CCWC).