Yiannis Ampatzidis
Cited by
Cited by
Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence
V Partel, SC Kakarla, Y Ampatzidis
Computers and electronics in agriculture 157, 339-350, 2019
UAV-Based High Throughput Phenotyping in Citrus Utilizing Multispectral Imaging and Artificial Intelligence
Y Ampatzidis, V Partel
Remote Sensing 11 (4), 410, 2019
UAV-based remote sensing technique to detect citrus canker disease utilizing hyperspectral imaging and machine learning
J Abdulridha, O Batuman, Y Ampatzidis
Remote Sensing 11 (11), 1373, 2019
Agroview: Cloud-based application to process, analyze and visualize UAV-collected data for precision agriculture applications utilizing artificial intelligence
Y Ampatzidis, V Partel, L Costa
Computers and Electronics in Agriculture 174, 105457, 2020
X-FIDO: An effective application for detecting olive quick decline syndrome with deep learning and data fusion
AC Cruz, A Luvisi, L De Bellis, Y Ampatzidis
Frontiers in plant science 8, 1741, 2017
Detection of grapevine yellows symptoms in Vitis vinifera L. with artificial intelligence
A Cruz, Y Ampatzidis, R Pierro, A Materazzi, A Panattoni, L De Bellis, ...
Computers and electronics in agriculture 157, 63-76, 2019
Detection of target spot and bacterial spot diseases in tomato using UAV-based and benchtop-based hyperspectral imaging techniques
J Abdulridha, Y Ampatzidis, SC Kakarla, P Roberts
Precision Agriculture 21, 955-978, 2020
iPathology: robotic applications and management of plants and plant diseases
Y Ampatzidis, L De Bellis, A Luvisi
Sustainability 9 (6), 1010, 2017
A new visible band index (vNDVI) for estimating NDVI values on RGB images utilizing genetic algorithms
L Costa, L Nunes, Y Ampatzidis
Computers and Electronics in Agriculture 172, 105334, 2020
Detecting powdery mildew disease in squash at different stages using UAV-based hyperspectral imaging and artificial intelligence
J Abdulridha, Y Ampatzidis, P Roberts, SC Kakarla
Biosystems engineering 197, 135-148, 2020
A remote sensing technique for detecting laurel wilt disease in avocado in presence of other biotic and abiotic stresses
J Abdulridha, R Ehsani, A Abd-Elrahman, Y Ampatzidis
Computers and electronics in agriculture 156, 549-557, 2019
Field experiments for evaluating the incorporation of RFID and barcode registration and digital weighing technologies in manual fruit harvesting
YG Ampatzidis, SG Vougioukas
Computers and Electronics in Agriculture 66 (2), 166-172, 2009
Diagnosis of grape leaf diseases using automatic K-means clustering and machine learning
SM Javidan, A Banakar, KA Vakilian, Y Ampatzidis
Smart Agricultural Technology 3, 100081, 2023
Citrus rootstock evaluation utilizing UAV-based remote sensing and artificial intelligence
Y Ampatzidis, V Partel, B Meyering, U Albrecht
Computers and Electronics in Agriculture 164, 104900, 2019
Automated vision-based system for monitoring Asian citrus psyllid in orchards utilizing artificial intelligence
V Partel, L Nunes, P Stansly, Y Ampatzidis
Computers and Electronics in Agriculture 162, 328-336, 2019
Evaluating the performance of spectral features and multivariate analysis tools to detect laurel wilt disease and nutritional deficiency in avocado
J Abdulridha, Y Ampatzidis, R Ehsani, AI de Castro
Computers and electronics in agriculture 155, 203-211, 2018
A yield mapping system for hand-harvested fruits based on RFID and GPS location technologies: field testing
YG Ampatzidis, SG Vougioukas, DD Bochtis, CA Tsatsarelis
Precision agriculture 10, 63-72, 2009
Laboratory and UAV-based identification and classification of tomato yellow leaf curl, bacterial spot, and target spot diseases in tomato utilizing hyperspectral imaging andá…
J Abdulridha, Y Ampatzidis, J Qureshi, P Roberts
Remote Sensing 12 (17), 2732, 2020
Cloud-based harvest management information system for hand-harvested specialty crops
Y Ampatzidis, L Tan, R Haley, MD Whiting
Computers and electronics in agriculture 122, 161-167, 2016
Field operation planning for agricultural vehicles: a hierarchical modeling framework
D Bochtis, S Vougioukas, C Tsatsarelis, Y Ampatzidis
International Commission of Agricultural Engineering, 2007
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