AIDA 2024

DESCRIPTION

Agriculture is essential for every nation's economic sector and is surely one of the industries that involves more risks. In addition, worldwide the urbanization is continuing and the need for food is increasing as the global population is growing on a daily basis. In this scenario, the farmers' traditional techniques are unable to meet the demand and urgent is the needs of efficient novel automation/reasoning approaches and tools supporting agriculture. 

Big data (BD) and Artificial Intelligence (AI) sinergically support the agriculture domain. More specifically, AI uses a vast amount of data to learn from and enhance decision-making in the and Big data analytics uses AI for better data analysis. AI and BD have emerged as the most significant technological advancements and are revolutionizing the agriculture industry as they use processes and technologies to combine and analyse massive datasets to provide insights and useful patterns. The final goal is help farmers to optimize crop yields and reduce waste by analyzing data from sensors, drones, and other sources to identify patterns and make predictions: AI can be used to predict weather patterns, soil moisture levels, and pest infestations, and to optimize irrigation and fertilizer use.

Grand View Research valued the global AI in agriculture market size at USD 600.5 million in 2020 and it is expected to grow of 25.7% from 2021 to 2028. Precision agriculture, which uses AI and other technologies to optimize crop yields and reduce waste, is expected to be a key driver of the AI in agriculture market with a market size expected to reach USD 12.9 billion by 2027. AI and other digital technologies have the potential to transform smallholder agriculture by improving productivity, reducing costs, increasing resilience to climate change and ensuring compliance with food safety regulations.

AIDA provides an interdisciplinary venue for the community to promote collaborations and exchanges ideas, practices and advances specific to artificial intelligence in agriculture. The goal is to bring people in the field cross-cutting information management, artificial intelligence and agriculture informatics to discuss innovative data management and analytics technologies highlighting end-to-end applications, systems, and methods to address problems in agriculture. The workshop solicits empirical, experimental, methodological, and theoretical research reporting original and unpublished results on topics in the realm of AI in agriculture, food and bio-system engineering and related areas, such as the need for data standardization and privacy concerns along with applications to real situations. The conference will take place in online format. 

TOPICS

• Big Data Analytics in Agriculture

• Decision Support System for Agriculture

• IoT and Robotics for Agriculture.

• AI for resources agricultural management.

• AI for food production, food feeding and logistics.

• AI-based precision for Agriculture.

• Big Data and Cloud Computing for Agriculture.

• Computational intelligence for agriculture.

• Security and Privacy for green IoT-based agriculture

• Machine learning and pattern recognition for plant’s disease detection and yield prediction.

• Image and signal processing for weed detection and crop monitoring.

• Remote sensing for agricultural monitoring and mapping.

• Systems modelling and analysis for water usage or crop growth.

PAPER SUBMISSION

The workshop invites full-length paper submissions that report ongoing or finished research (up to 10 pages), or short papers of early stage work (up to 6 pages). Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines using Letter page format (8.5 x 11).

Template are avaiable at: IEEE conference template

All accepted papers will be included in the Workshop Proceedings published by the IEEE Computer Society Press, and made available at the Conference. Proceedings will be  included in the IEEE digital library indexed by Google Scholar and Scopus.

Authors can submit their papers at this link: Paper Submission

The workshop organizers are negotiating a special journal issue. Further details will be provided in the next future.

      IMPORTANT DATES

• Ott 30, 2024: Due date for full workshop papers submission

• Nov 6, 2024: Notification of paper acceptance to authors

• Nov 20, 2024: Camera-ready of accepted papers

• Dec 15-18, 2024: Workshops

     PROGRAM CHAIRS

• Vijaypal Singh Dhaka, Manipal University Jaipur, India

• Geeta Rani, Manipal University Jaipur, India

• Eugenio Vocaturo, CNR Nanotec, Italy

• Ester Zumpano, University of Calabria, Italy

PROGRAM COMMITTEE MEMBERS 

• Vijaypal Singh Dhaka, Department of Computer and Communication Engineering, Manipal University Jaipur, India

• Nidhi Kundu, Nidhi, Department of Computer and Communication Engineering, Manipal University Jaipur, India

• Deepak Sinwar, Department of Computer and Communication Engineering, Manipal University Jaipur, India

• Geeta Rani, Department of Computer and Communication Engineering, Manipal University Jaipur, India

• Oscar Tamburis,CNR IBB - Istituto di Biostrutture e Bioimmagini , Italy

• Francesco Giannino, University of Naples Federico II, Italy

• Alfredo Cassano, CNR-ITM, Rende (CS), Italy

• Innocenzo Muzzalupo, CREA, Rende (CS), Italy

• Sanghoon Lee, College of Computing and Software Engineering, Kennesaw State University

• Marcelo Lisboa Rocha, Universidade Federal do Tocantins, Brasil

• Alfredo Mazzulla, CNR Nanotec, Italy

• Roberto Interdonato, CIRAD - UMR Tetis, Francia

• Eugenio Vocaturo, CNR Nanotec, Italy

• Ester Zumpano, DIMES, University of Calabria, Italy

• Tommaso Ruga, DIMES University of Calabria, Italy

• Tanima Bhattacharya Associate Professor Faculty of Applied Science Lincoln University College Malaysia

• Sai Kiran Oruganti, Indian Institute of Technology Patna

     INFO

      eugenio.vocaturo@cnr.it

      e.zumpano@dimes.unical.it

      vijaypalsingh.dhaka@jaipur.manipal.edu

      geetachhikara@gmail.com