posted by organizer: damarobe || 1083 views || tracked by 2 users: [display]

ACAIMSF 2023 : Advanced Computational and Artificial Intelligence Methods in Smart Forestry

FacebookTwitterLinkedInGoogle

Link: http://www.elecs.org/index.html
 
When Dec 21, 2023 - Dec 23, 2023
Where Bern, Switzerland
Submission Deadline Oct 1, 2023
Notification Due Oct 15, 2023
Final Version Due Nov 1, 2023
Categories    artificial intelligence   cyber-physical systems   IOT   internet of things
 

Call For Papers

Special Session on Advanced Computational and Artificial Intelligence Methods in Smart Forestry is a part of 7th European Conference on Electrical Engineering & Computer Science (ELECS 2023)
Bern, Switzerland, December 21-23, 2023.

The submission of manuscripts to Special Session on Advanced Computational and Artificial Intelligence Methods in Smart Forestry should be done through EasyChair:
https://easychair.org/conferences/?conf=acaimsf2023.

Aim:
To provide a platform for researchers, practitioners, and policymakers to discuss, share, and promote the latest advancements in computational techniques and AI applications tailored for forestry. This special issue aims to shed light on the intersection of AI, data science, and the intricate dynamics of forest ecosystems, paving the way for more informed forest management, conservation, and industry practices. This conference special issue seeks to combine the collective expertise of multiple disciplines, ensuring a comprehensive perspective on the potential of AI and advanced computational techniques in revolutionizing forestry for the betterment of both humanity and the planet.

Topics:
 Remote Sensing and AI: Utilization of machine learning techniques for interpreting satellite imagery, LiDAR data, and drone footage in forest monitoring and assessment.
 Predictive Modeling: Employing deep learning and other AI models to forecast forest growth, disease outbreaks, pest infestations, and the effects of climate change.
 Automated Wildlife Tracking: Leveraging AI in the identification and monitoring of wildlife populations within forested areas, using sensors, audio recordings, and cameras.
 Forest Fire Detection and Prediction: Utilizing machine learning algorithms for early detection of forest fires, prediction of fire spread, and strategizing containment.
 Sustainable Forest Management: AI-assisted tools for monitoring tree growth, calculating sustainable harvest rates, and ensuring reforestation success.
 Bioacoustic Monitoring: Using neural networks and other AI methods to interpret and catalog forest sounds, aiding in biodiversity assessments and ecosystem health monitoring.
 Timber Traceability and Supply Chain Monitoring: Implementing blockchain and AI for ensuring sustainable and transparent forestry practices.
 Smart IoT Devices in Forestry: Deployment and data interpretation from smart sensors, RFID tags, and other IoT devices for real-time forest monitoring.
 Forest Health and Disease Analysis: AI-driven diagnostic tools for detecting pathogens, diseases, and other stressors in forest ecosystems.
 AI-Driven Conservation Efforts: Strategies and applications for using AI to boost conservation efforts, including protection of endangered species and habitats.
 Virtual and Augmented Reality in Forestry Education: Innovative ways to leverage AI in producing immersive educational experiences for forestry students and professionals.
 Forest Biomimicry and AI: Learning from forest structures and processes to enhance AI algorithms and architectures.
 Data Integration and Interoperability: Challenges and solutions in merging heterogeneous datasets for comprehensive forest analyses.

Organisers-Chairs:
Dr. Robertas Damasevicius, Faculty of Applied Mathematics, Silesian University of Technology, Gliwice, Poland. Email: robertas.damasevicius@polsl.pl
Prof. Dr. Gintautas Mozgeris, Agriculture Academy, Faculty of Forest Sciences and Ecology, Department of Forest Sciences, Vytautas Magnus University, Akademija, Lithuania. Email: gintautas.mozgeris@vdu.lt
Dr. Rytis Maskeliunas, Department of Multimedia Technologies, Kaunas University of Technology, 51311 Kaunas, Lithuania. Email: rytis.maskeliunas@ktu.lt

Related Resources

EI/Scopus-PRDM 2024   2024 5th International Conference on Pattern Recognition and Data Mining(PRDM 2024)
IEEE-Ei/Scopus-SGGEA 2024   2024 Asia Conference on Smart Grid, Green Energy and Applications (SGGEA 2024) -EI Compendex
AMLDS 2025   2025 International Conference on Advanced Machine Learning and Data Science
Ei/Scopus-AACIP 2024   2024 2nd Asia Conference on Algorithms, Computing and Image Processing (AACIP 2024)-EI Compendex
GenAI in Biology 2024   Generative AI in Computational Biology and Bioinformatics (Special Issue on CSBJ)
IEEE-Ei/Scopus-ACEPE 2024   2024 IEEE Asia Conference on Advances in Electrical and Power Engineering (ACEPE 2024) -Ei Compendex
ICIAI 2025   2025 the 9th International Conference on Innovation in Artificial Intelligence (ICIAI 2025)
ARIA 2024   11th International Conference on Artificial Intelligence & Applications
CPAIOR 2024   International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research
BS LAB 2025   9th Business Systems Laboratory International Symposium TECHNOLOGY AND SOCIETY: Boon or Bane?