IJABE Call for Papers | Intelligent Perception and Multi-Modal Data Fusion Agricultural Large Model Systems
IJABE Call for Papers | Intelligent Perception and Multi-Modal Data Fusion Agricultural Large Model Systems
2026 IJABE Special Collection on Intelligent Perception and Multi-Modal Data Fusion Agricultural Large Model Systems.
Guest Editors: Dr. Yaojun Wang, Associate Professor of the College of Information and Electrical Engineering, China Agricultural University
Dr. Jie Liu, Professor and Dean of the International Research Institute for Artificial Intelligence, Harbin Institute of Technology (Shenzhen)
Guest Associate Editors: Dr. Yanfeng Lyu, Associate Researcher of the Institute of Automation, Chinese Academy of Sciences
Dr. Jing Jin, Professor and Deputy Dean of the International Research Institute for Artificial Intelligence, Harbin Institute of Technology
Dr. Lu Jia, Associate Professor of the College of Information and Electrical Engineering, China Agricultural University
Dr. Gang Yuan
Associate Professor of the College of Information and Electrical Engineering, China Agricultural University
Complex field scenarios are generally characterized by dynamic and changeable environments, diverse crop morphologies, and complicated interference factors. Single-sensor monitoring and traditional intelligent algorithms suffer from inherent limitations, including insufficient perception dimensions, one-sided feature extraction, and poor scene generalization capability, which cannot fully meet the whole-process demands of modern agriculture, such as precision planting, intelligent field management, and unmanned operational execution. With the in-depth integration of smart agriculture and artificial intelligence, massive multimodal agricultural data covering vision, spectrum, point cloud, time-series sensing, and agronomic texts have been continuously accumulated. However, prevalent industrial challenges, including data heterogeneity, difficult cross-modal fusion, weak semantic correlation, and poor practical deployment persist. Conventional agricultural intelligent systems fail to achieve unified cross-modal information representation, high-precision perceptual reasoning, and adaptive intelligent decision-making, greatly restricting the intelligent, precise, and large-scale upgrading of modern agriculture.
By leveraging the powerful feature learning and semantic understanding capabilities of large models, combined with multimodal data fusion and high-precision intelligent perception technologies, it is feasible to address the core bottlenecks of inaccurate perception, imprecise decision-making, and insufficient scene adaptability in complex farmland scenarios. As a cutting-edge research direction in smart agriculture, relevant studies are of great significance to the digital transformation, quality and efficiency improvement, and green and low-carbon development of agriculture. Therefore, IJABE launches the Special Collection on Intelligent Perception and Multi-Modal Data Fusion Agricultural Large Model Systems. IJABE sincerely invites researchers and practitioners from universities, research institutes, and relevant industry experts engaged in agricultural multimodal perception, data fusion algorithms, agricultural large model development, application of intelligent decision-making methods, and smart agricultural scenario implementation to submit original research papers and review articles. Together, we aim to establish a high-quality academic exchange platform. The collection is scheduled for publication in phases by 2027.
Submit your manuscript at https://www.ijabe.org, and you can also get the Guidelines for Authors there.
Types of articles: Review, Research Articles, Editorial, Perspectives.
Submission deadline: January 31, 2027
Topics include, but are not limited to
- Construction, optimization, and lightweight adaptation of agricultural large models;
- Large model-driven intelligent perception and reasoning decision-making in agriculture;
- Edge-cloud collaborative agricultural large model perception system and agricultural agent technology;
- Multimodal data fusion and semantic representation of agricultural heterogeneous data;
- Multimodal intelligent perception theories and technologies for complex agricultural scenarios.
Word count
There is no strict word limit. You may organize the content and length according to your writing plan.
Contact information:
Contact Editor: Dan Meng
Email: ijabe@ijabe.cn
Tel: +86-10-59197091
