AG-AI Workshop Tentative Program
Developing and adopting IoT/AI/ML techniques and applications in agriculture is challenging but highly important. The significant variability and complexity of agricultural systems are key challenges. The workshop will focus on big data acquisition and AI/ML-based analytics in PA. The emphasis will be on the application of data science approaches in PA. In the workshop, we will present state-of-the-art IoT/AI/ML methods, tools, and applications and consider how these can be applied to enable more sustainable agricultural practices. The workshop sessions will occur on the first two days, July 18 & 19, followed by a professional tour on July 20.
|Day 1 – July 18, 2023
|Opening session- GREETINGS
|Session B (Part 1)
|Session B (Part 2)
|Session C (Part 1)
|Day 2 – July 19, 2023
|Session C (Part 2)
|Session F - Panel Discussion
|Driving from Beer-Sheva to Nazareth
|Day 3 – July 20, 2023
|Driving from Nazareth to Newe Ya'ar, The Model Farm
|Neve Ya'ar- Local tour of infrastructure in the Model Farm
|Studies in the Field Crop Platforms of the Model Farm
|Presentation from Agrilight Ltd
|Opening of the first discussion session
|Roundtable 1: Group Discusions
|Roundtable 2: Joint Discussion
Workshop summary and closure
Driving from Model Farm to Tel Aviv
Senior Lecturer & Organizing Committee
Dr. Paz-Kagan is a remote-sensing scientist who is using computing and information technology dedicated to soil and plant interaction for agricultural and environmental studies. Her research focuses on identifying and quantifying spatial and temporal patterns in soil and plant distribution and their interactions in response to biotic and abiotic stress.
Senior Research Scientist
Dr. Alchanatis is a senior research scientist at the Institute of Agricultural Engineering at ARO. His research focuses on sensing technologies and their application to agricultural and environmental systems: optical sensing in the visible, near-infrared and thermal infrared spectrum, hyper-spectral and multi-spectral image processing, computer vision and classification systems.
Scientific Director, The Model Farm for Sustainable Agriculture
Dr. Laor researches the management and recycling of agricultural and municipal wastes and the environmental impacts associated with these processes. Composting is in the core of her research work, including aspects of process control, emissions of gases and odors, pathogen survival and compost quality for agronomic use.
Program Director, NSF
Dr. Hallstrom serves within the Computer and Information Science and Engineering Directorate. His areas of program responsibility include Computer Systems Research, Future of Semiconductors, Formal Methods in the Field, Expeditions in Computing, CISE Community Research Infrastructure, and Mid-scale Research Infrastructure-1.