Title 2: UAV Assisted Real-Time Detection and Recognition Of Citrus Disease in Smart Farming using Deep
Learning (Submitted to KICS Fall)
Title 3:Accurate prediction of drones from other flying objects using VGG16 Model
i. Finished the introductory part of the paper
ii. Brainstormed with team members to garner more knowledge
iii. Continue paper review
i. Continue with paper writing
ii. Gather datasets and commence labeling
iii. Continuous studying of Machine Learning and Artificial Intelligence
Anti- Drone Project
i. Re-designed a CNN model
ii. Literature review of the various YOLO architectures
iii. Continuous studying of Deep Learning algorithms
i. Paper reviews
ii. Labeling of datasets for the team’s project
i. Submit a paper for KICS conference (achieved)
ii. Submit at least 2 papers for international conference (ICTC achieved )
iii. Acquire in-depth knowledge and usage of Machine Learning and Deep Learning
i. Submit an international journal