Title 2: UAV Assisted Real-Time Detection and Recognition of Citrus Disease in Smart Farm Using Deep Learning (KICS Fall; Journal)
Title 3: Aerial Surveillance and Detection of Drones and Birds; Deploying a Custom CNN model
Target: ICAIIC 2022
Title 4: Tentative Research topic for Winter Intensive
Title 2: (a) Studied related papers
(b) Expanded chapters 1 and 2
Title 3: (a) Gathered datasets for simulations
(b) Completed chapters 2 and 3
Title 4: Reviewed related papers
Title 2: (a) Design the system model
(b) Gather more datasets
Title 3: (a) Run simulations for model comparison
(b) Complete and submit paper
Title 4: Begin paper writing
Anti- Drone Detection System
i. Trained team’s dataset on YOLOv3 and YOLOV5 models
ii. Labeled more dataset to achieve robust datasets for the team’s project
iii. Continuous study of Machine Learning and Artificial Intelligence
i. Design a custom model with our datsets
ii. Continue data labeling for the team’s project
iii. Practical hands-on Machine Learning
i. Attend a local conference(achieved)
ii. Submit a paper for international conference(achieved)
iii. Acquire in-depth knowledge and usage of Machine Learning and Deep Learning
i. Submission of at least a journal