Program

Guide Book:
ipb.link/guidebook-csagri23

Week 1 (Onsite)

Time	Sun 8 Oct	Mon 9 Oct	Tue 10 Oct	Wed 11 Oct	Thu 12 Oct	Fri 13 Oct
08.00– 08.30	Arrival in Bogor Briefing for Intl Participants		Arrival and registration
08.30– 09.00		Arrival and registration	Introduction to Artificial Intelligence and Optimization for Smart and Sustainable Agriculture Prof. Imas Sitanggang (IPB)	Arrival and registration	Arrival and registration	Arrival and registration
09.00– 10.30		Opening Participant Introduction	Recent Advances on AI in Smart Agro Maritime in IPB University Dr. Yeni Herdiyeni (IPB)	Introduction to CASSMiLe Microlearning Dr. Samsuzana Abd Aziz	ML in Agrifood 2: Guided project on Regression. Dr. Anas Mustafah, Dr. Diyana Jamaludin, Dr. Nurulhuda Khairudin ML in Agrifood 2: Guided project for Clustering. Dr. Anas Mustafah, Dr. Diyana Jamaludin, Dr. Nurulhuda Khairudin	Pattern recognition using Deep Learning: Agriculture and medical applications Integration of AI Detection Model with the Motion Control System of the Robotic Arm for Medical and Agriculture Application (Arm Robot Workshop mycobot jetson to detect fruits) Seasonal School on Artificial Intelligence (AI) Integrated Circuits and Systems for medical and surgery technologies. (SSAICAS_MST 2023) (hybrid session)
10.30– 12.00		IPB University Campus Tour	*Overview of AI and Machine Learning Applications: OpenCV for image processing for medical and agriculture applications* Dr. Luthffi Idzhar Ismail (UPM)	ML in Agrifood 1: Step by step ML: ML Techniques and Data Handling. Dr. Siti Khairunniza Bejo, Dr. Hazreen Haizi Harith, Dr. Norulhuda Ramli
12.00– 13.00		Lunch Break
13.30– 14.30		Introduction to: Research Division in Computer Science IPB and IEEE CASS Maker (Dr. Samsuzana Abd Aziz)	Product Demo from IPB and UPM to Support Agriculture: UPM: Video of an autonomous mechanical tractor to detect and collect fresh fruits bunch in palm oil plantation) IPB: Swarm robot (Dr. Karlisa Priandana, Dr. Medria Hardhienata)	ML in Agrifood 1: Step by step ML: Supervised Learning. Dr. Siti Khairunniza Bejo, Dr. Hazreen Haizi Harith, Dr. Norulhuda Ramli	Hands-on Practice (IPB): Genotyping SNIP, Image Processing for Smart Agriculture, Swarm Algorithms	Group Project Discussion (Apply what the participants learnt from last sessions and use their own data) Collaboration Discussion (UPM x IPB)
14.30– 15.30		Introduction to: IEEE Student Branch IPB University and IEEE Student Branch UPM		ML in Agrifood 1: Step by step ML: Unsupervised Learning. Dr. Siti Khairunniza Bejo, Dr. Hazreen Haizi Harith, Dr. Norulhuda Ramli)	Site Visit to Agribusiness and Technology Park (ATP) IPB	Group Project Proposal Presentation
15.30– 16.30		Discussion and Closing	Discussion and Closing	Discussion and Closing	Site Visit to Agribusiness and Technology Park (ATP) IPB	Group Project Proposal Presentation

For ML for Agrifood micro courses, please install Jupyter Notebook on your own device.

Week 2 (Virtual)

Time	Mon 16 Oct	Tue 17 Oct	Wed 18 Oct	Thu 19 Oct	Fri 20 Oct
08.00–12.00	Group Project				Final Presentation
12.00–13.00	Lunch Break
13.00–15.00	Virtual Office Hour for Project Discussion				Closing
15.00–17.00	Group Project				Closing

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