Sustainable Precision Agriculture in the Era of IoT and Artificial Intelligence

July 18-20, 2023


A three-day workshop with podium presentations delivered mainly by keynote and invited speakers who are leading experts in the relevant fields of Artificial Intelligence (AI) in Precision Agriculture (PA), with additional selected voluntary presentations . Roundtable discussion sessions will follow on the topic of AI in PA. 

The workshop will be held for three days from July 18-20, 2023, which will include two days of scientific lectures and discussions at Ben Gurion University in the Negev (BGU), located in Beer Sheva, and one day for a professional tour at the Model Farm at Newe Ya'ar, run by the Agricultural Research Organization (ARO), located in the northern part of Israel.  It will focus on PA development in Israel and different states in the USA with similar agriculture enterprises and agriculture-driven economies. The desired outcomes of the proposed workshop are:

  • Exchange of information and expertise among the workshop participants.
  • Inclusion of advanced graduate students and postdocs as part of their training and career development.
  • Establishment of a network of USA and Israel-based PA experts that will encourage research collaborations that will accelerate PA development through coordination and exchange of information through follow-up activities (e.g., satellite meetings, targeted workshops, group websites, social media, etc.)
  • Publication of a synthesis/review paper or joint research proposal based on workshop discussions and activity outcomes.

Location: All Sessions will take place at the Ben Gurion University Campus in the W.A. Minkoff Senate Building (71A).

Registration is free but you must sign-up in advance.

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- GREETINGS8:30-9:30
Session A9:30-11:30
Coffee Break 11:30-12:00
Session B (Part 1)12:00-14:00
Lunch Break 14:00-15:00
Session B (Part 2)15:00-16:40
Coffee Break 16:40-17:00
  Session C (Part 1)17:00-18:40
 Opening Dinner 20:00-22:00

Day 2 – July 19, 2023
Session C (Part 2)9:00-11:00
Coffee Break11:00-11:20
Session D11:20-13:20
Lunch Break 13:20-14:20
Session E14:20-16:20
Coffee Break
Session F - Panel Discussion16:40-17:30
Driving from Beer-Sheva to Nazareth18:00-20:00

Day 3 – July 20, 2023
  Driving from Nazareth to Newe Ya'ar, The Model Farm7:30-8:00
Neve Ya'ar- Local tour of infrastructure in the Model Farm8:00-10:00
Coffee Break 10:00-10:30
Studies in the Field Crop Platforms of the Model Farm10:30-11:10
Presentation from Agrilight Ltd11:10-11:30
Opening of the first discussion session
Lunch Break12:30-13:30
Roundtable 1:  Group Discusions13:30-15:00
Roundtable 2:  Joint Discussion15:00-16:30
 Workshop summary and closure
Driving from Model Farm to Tel Aviv

  • Dr. Jason Hallstrom, National Science Foundation, USA, NSF Investments in the Future of Precision Agriculture
  • Prof. Steven Mirsky, US Department of Agriculture, USA, Operationalizing Precision Sustainable Agriculture
  • Dr. Victor Alchanatis, Agricultural Research Organization (ARO), Israel, Integration of Artificial Intelligence and Sensing for Precision Farming
  • Prof. Avital Bechar, ARO, Israel, Agricultural Robots and AI for Precision Agriculture
  • Dr. Yafit Cohen, ARO, Israel, Big Data in Area-Wide and In-Field Scales
  • Dr. Iftach Klapp, ARO, Israel, Enhancement of Low-Cost Sensing Devices for Precision Agriculture

  • Prof. James Krogmeier, Purdue University, USA, Networking and Computing Infrastructure for Large Scale Agricultural Testbeds Supporting the IoT4Ag Engineering Research Center
  • Dr. Brian Needelman, University of Maryland, USA, Integrating Topographic and Soil Survey Analyses into Predictions of Cover Crop Performance in Precision Sustainable Agriculture Models
  • Dr. Yael Salzer, Agricultural Research Organization (ARO), Israel, Towards Informed Postharvest Logistic Management Systems to Reduce Food Loss, and Other Challenges
  • Dr. Ariel Shabtay, ARO, Israel, Integrating Biomarkers into the Electronic-Sensors based PLF Tool Box
  • Dr. Shai Sela, Agmatix, Israel, Harnessing Data Standards to Accelerate Collaborative Agronomic Big Data Research

  • Prof. Dorivar A. Ruiz Diaz, Kansas State University, USA, Decision Support Tools for Farmers: Field Data Collection Challenges and Opportunities through Multidisciplinary Collaboration
  • Prof. Taejoon Kim, University of Kansas, USA, Predicting In-Season Soil Mineral Nitrogen in Corn Production Using Generative Deep Learning Model
  • Dr. Offer Rozenstein, Agricultural Research Organization, Israel, Data-Driven Estimation of Actual Evapotranspiration to Support Irrigation Management:  Testing Two Novel Methods based on an Unoccupied Aerial Vehicle and an Artificial Neural Network
  • Prof Yeal Edan, Ben Gurion University of the Negev (BGU), Israel, AgRobotics in the Era of IoT & AI for Sustainable PA
  • Prof. Tal Svoray, BGU, Israel, A Machine Learning and Geoinformatics Water Erosion Approach in Agricultural Catchments

  • Dr. X. Carol Song Purdue University, USA, GeoEDF: A Framework for Designing and Executing Reproducible Geospatial Research Workflows in Science Gateways
  • Prof. Raj Khosla, Kansas State University, USA, Artificial Intelligence for Agricultural Sustainability
  • Prof. Uri Yermiyahu, Agricultural Research Organization (ARO), Israel, Reforming Crops’ Mineral Diagnostics by Chemometrics to Sustenance the Empirical Requirements of Decision Support Tools in Farming
  • Dr. Yael Laor, ARO, Israel, Introduction to the Model Farm for Sustainable Agriculture, Newe Ya'ar, Volcani Institute 
  • Dr. Ehud Strobach, ARO, Israel, Seasonal Predictions of Crop Yield under Changing Climate Conditions: The Coupled Crop-Climate Modeling Approach

  • Prof. Won Suk (Daniel) Lee, University of Florida, USA, Specialty Crop Production in using Artificial Intelligence in Florida, USA
  • Prof. Dharmendra Saraswat, Purdue University, USA, Unmanned Aerial Systems for Plant-Stress Identification and Monitoring
  • Dr. Tarin Paz-Kagan, Ben Gurion University, Israel, Advances in Agricultural Unmanned Aerial Vehicles - Focus on Sensing Applications
  • Dr. Ran Lati, Agricultural Research Organization (ARO), Israel, Early Sub-Soil Detection of Broomrape Infestation Using Spectral Data
  • Dr. Or Sperling, ARO, Israel, Modeling The Cost of Deficit Irrigation
  • Dr. Shahar Baram, ARO, Israel, Using Remote Sensing to Close the Yield Gap in Almond Orchards

  • Prof. George Vellidis, University of Georgia, USA, Big Data, IoT, and AI Applications to Solve Agricultural Problems in the Southeastern USA: Three Case Studies
  • Dr. Lizhi Wang, Iowa State University, USA, A Digital Twin Framework for Precision Agriculture
  • Prof. Naftali Lazarovitch, Ben Gurion University of the Negev (BGU), Israel, Improving Fertigation Scheduling by Combining Continuous Monitoring and Numerical Modeling of the Root Zone
  • Dr. Assaf Chen, MIGAL, Israel, Early Detection of White Mold Disease in Field Crops via Remote Sensing and Machine Learning
  • Dr. Anna Brook, University of Haifa  Israel, Multisource Remote Sensing Sensors/Platforms Integration and Synergy in Smart and Sustainable Agriculture
  • Prof. Charlie Messina, University of Florida, USA, Emergence Agriculture: Concept for Managing Complexity in Maize Production

  • Prof. Ioannis (Yiannis) Ampatzidis, University of Florida, USA, AI-Enhanced Technologies for Precision Management of Specialty Crops
  • Prof. Glen Rains, University of Georgia, USA, AI, Data Analytics and Precision Tools for Intelligent and Climate-Resilient Agriculture Systems
  • Dr. Fadi Kizel, Technion- Israel Institute of Technology (Technion), Israel, AI-Based Muti-Sensor Data Fusion for Spatially Enhanced Spectral Mapping Products
  • Prof. Eyal Ben-Dor, Tel Aviv University, Israel, Precision Agriculture:  The Pedosphere under a Spectral Binocular
  • Prof. Gilad Ravid, Ben Gurion University, Israel, Exploring Date Collection Methods and Investigating the Emergence of Macrophomina Phaseolina in Cotton Fields:  A Comprehensive Study in Agricultural Decision Support Systems
  • Prof. Raphael Linker, Technion, Israel, Predicting Nitrogen Content in Citrus Orchards Canopy using UAV and Satellites Data

A Panel Discussion

professional Tour image
The Model Farm is a pioneering project in Israel and unique on an international scale. It spans over 40 hectares and incorporates four major platforms: an almond orchard, a field-crop plot, a precision-based feedlot, and a waste recycling site. The Model Farm will test, demonstrate, and assimilate sustainable agricultural practices and agricultural conservation principles, aiming to bridge the gap between the research world and the farmer.

The tour will take place on July 20, the last day of the workshop.

More Information Regarding the Farm

Dr. Tarin Paz-Kagan, Ben Gurion University of the Negev (BGU), Jacob Blaustein Institutes for Desert Research, Israel

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.

Dr. Victor Alchanatis, Agricultural Research Organization (ARO), Volcani, Israel

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.

Dr. Yael Laor, ARO, Volcani, Israel

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.

Dr. Jason O. Hallstrom, National Science Foundation (NSF), USA

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.

Book of Abstracts

See the attached Book of Abstracts for the lectures that were presented at the Workshop. Thank you to all that participated.

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A selection of the lectures that were presented at the workshop are available for viewing

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Ben Gurion University of the Negev

Ben Gurion University of the Negev

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U-Tel in the Student Village

U-Tel in the Student Village

For your stay in Be'er Sheva for the sessions at BGU

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Golden Crown Hotel - Nazareth

Golden Crown Hotel - Nazareth

For your stay in the north for the trip to Neve Yaar.

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Hotels in Tel Aviv

Hotels in Tel Aviv

For those wishing to extend their stay in Israel.

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