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Third International Workshop
AIDA (AI-driven Agriculture: Opportunities and Challenges)
December 8-11, Macau SAR, China
Workshop style: Full online
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) synergically 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.
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
Authors are invited to submit full papers (maximal 10 pages) or short papers (maximal 6 pages) with references included in the IEEE 2-column format.
Templates for LaTex, Word and PDF can be found at
(https://www.ieee.org/conferences/publishing/templates.html).
All papers must be submitted via the conference submission system for the workshop at:
https://wi-lab.com/cyberchair/2025/bigdata25/scripts/submit.php?subarea=S41
At least one author of each accepted paper is required to attend the workshop virtually and present the paper. All the accepted papers by the workshops will be included in the Proceedings of the IEEE Big Data 2025 Conference (IEEE BigData 2025) which will be published by IEEE Computer Society.
IMPORTANT DATES
Oct 1, 2025: Due date for full workshop papers submission
Nov 4, 2025: Notification of paper acceptance to authors
Nov 23, 2025: Camera-ready of accepted papers
Dec 18-11, 2025: Workshop
PROGRAM CHAIRS
Ester Zumpano, University of Calabria, Italy, e.zumpano@dimes.unical.it
Eugenio Vocaturo, CNR Nanotec, Italy, eugenio.vocaturo@cnr.it
Vijaypal Singh Dhaka, Manipal University Jaipur, India – vijaypalsingh.dhaka@jaipur.manipal.edu
Geeta Rani, Manipal University Jaipur, India – geeta.rani@jaipur.manipal.edu
PROGRAM COMMITTEE MEMBERS
Agostino Forestiero, ICAR-CNR, Italy
Kundu, Nidhi, Department of Computer and Communication Engineering, Manipal University Jaipur, Jaipur, India
· Dhaka, Vijaypal Singh, Department of Computer and Communication Engineering, Manipal University Jaipur, Jaipur, India
Oscar Tamburis, University of Naples Federico II, Italy
Alfredo Cassano, CNR-ITM, Rende (CS), Italy
Geeta Rani, Department of Computer and Communication Engineering, Manipal University Jaipur, Jaipur, India (geeta.rani@jaipur.manipal.edu)
Carmela Comito, ICAR-CNR, Italy
Marcelo Lisboa Rocha, Universidade Federal do Tocantins, Brazil
Alfredo Mazzulla, CNR Nanotec, Italy
Francesco Lamonaca, DIMES, University of Calabria
Eugenio Vocaturo, CNR Nanotec, Italy
Ester Zumpano, DIMES, University of Calabria, Italy
Tommaso Ruga, DIMES University of Calabria, Italy
INFO
vijaypalsingh.dhaka@jaipur.manipal.edu
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