International Conference on AI applications in Agriculture

19-20 July 2022 (09:00-17:00 h GMT+2)

University of Barcelona, Barcelona, Spain


Tuesday, 19 July 2022

08:00 – 09:00    Registration

09:00 – 10:00    Opening ceremony

· Welcome remarks by Prof. Jordi García Vice-presidentfor Research, Universitat de Barcelona (UB), Spain

· Welcome remarks by Dr. Tarifa Alzaabi, Acting Director General, International center for Biosaline Agriculture (ICBA), UAE

· The continuous need of agricultural research. Prof. Ignacio Romagosa, Director of Agrotecnio, Universitat de Lleida (UdL), Spain.

· The Role of Innovation & Technology in Achieving Global Food Security, Dr. Tarifa Alzaabi, Acting Director General, ICBA, UAE

· Research on Agriculture at the Universitat de Barcelona. Prof. José Luis Araus, Integrative Crop Ecophysiology Group, UB, Spain

· Introduction of the project – I “Developing a user-friendly application for plant disorder detection for smallholder farmers” and ICBA’s achievement in the use of AI in agriculture, Dr. Henda Mahmoudi, Plant Physiologist, ICBA, UAE

·Group photo

10:00 – 10:30    Coffee break

10:30 – 12:30    Session 1: AI in agriculture: potentialities and limitations

· Keynote speech. Genetic gains in modern plant breeding Prof. José Crossa, International Maize and Wheat Improvement Center (CIMMYT), Mexico

· High throughput (HTP) phenotyping: a potential decision tool for selection from large populations, Dr. RK Singh, Program Leader, ICBA, UAE

· Challenges for the data collection and AI application, Shaimaa Ismail, Abu Dhabi, UAE

· Deep leaning for detection of plant disorders in crop leaves: from data collection to framework tools. Prof. José Armando Fernandez, University of Ibagué, Colombia

· Q&A

12:30 – 14:00    Lunch break

14:00 – 16:00    Session 2: Technical setup: AI toolsets, input data resources, algorithm categories, and data fusion

· Keynote speech:  Dynamical phenotyping data: models and use. Prof. Fred van Eeuwijk, University of Wageningen, The Netherlands

· How is AI used to assess new traits in a context of High Throughput Phenotyping for plant breeding and product evaluation Dr. Alexis Comar, Hiphen, Avignon, France

· Computer generation of fruit shapes from DNA, Prof. Miguel Perez, ICREA – Universitat Autonoma de Barcelona, Spain.  

· Precise agriculture technology: sensing technologies to improve the natural resource use under the marginal environment, Dr. Zied Hammami, Agronomist, ICBA, UAE

· Q&A

Wednesday, 20 July 2022

08:30 – 10:00    Session 3: Input data and AI application domains: examples

· Integrated analysis of phenomics data Dr. Llorenç Cabrera-Bosquet, LEPSE, UMR INRA-SUPAGRO, Institut de Biologie Intégrative des Plantes, Montpellier, France

· Deep learning architectures for forestry applications Prof. Shawn. C. Kefauver, Integrative Crop Ecophysiology Group, UB, Spain

· Fruit detection and sizing using photonic sensors and artificial intelligence, Dr. Jordi Gené, Research Group in AgroICT & Precision Agriculture, UdL, Spain

10:00 – 10:30    Coffee break

10:30 – 12:30    Session 3: Input data and AI application domains: examples, Cont…

· Practical application for irrigation management in almonds Prof. Jose A. Jiménez Berni, Sustainable Agriculture Institute, Spanish National Research Council (CSIC) – Universidad de Córdoba, Spain

· Artificial Intelligence and Digital Twins for Agricultural Water Management Dr. Joaquim Bellvert, Efficient Use of Water in Agriculture Program. Institute of Research, AgriFood & Technology (IRTA), Spain

· Implementation of Artificial Intelligence (AI) for sustainable agriculture, Dr. Sumitha Thushar, ICBA, Dubai, UAE

· Challenges and opportunities of NDVI based-models for grain yield prediction, Dr. Adrian Gracia-Romero, Sustainable Field Crops Program, IRTA., Spain

· Q&A

12:30 – 14:00    Lunch break

14:00 – 16:00    Session 4: AI in agriculture: future scenarios

· AI tools for future agriculture, Rami Hamza, Tunis, Tunisia

· Using hyperspectral canopy reflectance for predicting leaf photosynthetic traits on spring wheat genotypes. Angie L. Gámez- Agrobiotechnology Institute, CSIC-Universidad Pública de Navarra, Spain.

· Machine learning to estimate within field wheat grain yield using Sentinel-2 data, Joel Segarra, Integrative Crop Ecophysiology Group, UB, Spain

· Highlights on the capacity development of the project in Egypt, Tunisia and the UAE, Mr. Ghazi Al-Jabri, Capacity Development Specialist, ICBA, UAE

16:00 – 17:00    Closing ceremony

· Recommendations

· Closing remarks

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