Session 08: AI applications in specialty crops
Tracks
Multimedia Hall
| Tuesday, July 2, 2024 |
| 12:00 - 13:30 |
| Multimedia Hall |
Speaker
Prof. Dimitrios Argyropoulos
University College Dublin
OP08-1 | Mush-track: An automatic mask R-CNN based tool for the annotation of oyster mushroom instances
12:00 - 12:15
Mr. Diego José Gallardo Romero
University Of Seville
OP08-2 | Computer vision-based early detection of Phytophthora spp. in orange grove
12:15 - 12:30
Mr. Wout Vierbergen
ILVO
OP08-3 | Synthetic spectral image generation of bruised ‘conference’ pears as additional training data for DL-systems for non-destructive bruise detection
12:30 - 12:45
Dr. Fernando Rojano
West Virginia State University
OP08-4 | Physics informed neural networks applied to controlled environment agriculture
12:45 - 13:00
Mr. Bart Van Laatum
Wageningen Unversity & Research
OP08-5 | GreenLight-Gym: A reinforcement learning benchmark environment for greenhouse crop production control
13:00 - 13:15
Dr. Michael Odewole
University of Ilorin
OP08-6 | Application of artificial neural network to identify the closest variety to ogbomoso mango fruits
13:15 - 13:30Chair
Yiannis Ampatzidis
University Of Florida
