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 | 412 | 2019 |
UAV-Based High Throughput Phenotyping in Citrus Utilizing Multispectral Imaging and Artificial Intelligence Y Ampatzidis, V Partel Remote Sensing 11 (4), 410, 2019 | 233 | 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 | 200 | 2019 |
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, 289333, 2017 | 198 | 2017 |
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 | 190 | 2020 |
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 | 183 | 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 | 167 | 2020 |
iPathology: robotic applications and management of plants and plant diseases Y Ampatzidis, L De Bellis, A Luvisi Sustainability 9 (6), 1010, 2017 | 166 | 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 | 136 | 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 | 133 | 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 | 114 | 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 | 106 | 2009 |
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 | 103 | 2019 |
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 | 102 | 2019 |
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 | 97 | 2023 |
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 | 90 | 2009 |
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 | 88 | 2018 |
Laboratory and UAV-based identification and classification of tomato yellow leaf curl, bacterial spot, and target spot diseases in tomato utilizing hyperspectral imaging and … J Abdulridha, Y Ampatzidis, J Qureshi, P Roberts Remote Sensing 12 (17), 2732, 2020 | 78 | 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 | 75 | 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 | 70 | 2007 |