"AI and Big Data Analytics for Sustainable Crop and Food Productivity"

Global food security and sustainable agriculture are two of the most immediate concerns of the 21st century, particularly against the backdrop of climate change, resource limitation, and increasing population pressure. To address these challenges, the converging of Artificial Intelligence (AI) and Big Data Analytics in farming practices is revolutionizing crop cultivation, monitoring, and optimization.
Artificial intelligence-based models can scan huge datasets gathered by satellites, drones, sensors, and Internet of Things (IoT) devices to find evidence of soil health, weather, pest activity, and crop yield. Leveraging predictive analytics and real-time decision-making software, these technologies make precision agriculture possible, eliminate waste, increase yield, and support environmental sustainability.
This special issue seeks to collect advanced research and applied innovations that harness AI and big data to enhance agricultural productivity, food system resilience, and sustainable management of resources. It invites contributions from computer scientists, agronomists, environmental engineers, and policy specialists who are at the nexus of technology and food systems.
This special issue aims to inspire innovation and debate on the revolutionary role of AI and big data in ensuring sustainable food systems. By confronting crucial technological and practical challenges, it will contribute to a new generation of data-driven agriculture that is more efficient, responsive, and sustainable-enabling resilient food production systems in an interconnected world.

Topics of Interest
We invite original research papers, review articles, and case studies addressing the following (but not limited to) topics:
- AI algorithms for crop yield prediction and optimization
- Big data platforms for agricultural and agri-food analytics
- Remote sensing and geospatial data analysis for farm monitoring
- Precision agriculture using ML and real-time IoT sensor networks
- Climate-smart farming solutions using AI
- Disease and pest detection using computer vision and deep learning
- Intelligent irrigation and resource management systems
- AI for food supply chain optimization and post-harvest management
- Sustainable soil and water usage prediction using data-driven models
- Blockchain and data integrity in agri-food systems
- Policy implications and ethics in AI-driven agriculture

Important Dates
Call for Papers: September 24, 2025
Final Notification of Acceptance: March 31, 2026
Publication Date (Online): *

*The special issue will be published once a minimum of 25 papers have successfully passed the peer-review process. Until then, all papers that have successfully completed the review process will be available online in the Early View section.

Publication fee
150 EUR excluding VAT (converting EUR to BGN at the exchange rate valid on the day of the bank transfer or online payment). The payment is in Bulgarian leva (BGN).

Instructions for authors
Please select the "AI and Big Data Analytics for Sustainable Crop and Food Productivity - Spec. Iss" section when submitting articles.
Call for Paper
Online Submisions
Author Guidelines

Issue Editor

Prof. Eng. Nedyalko Todorov Katrandzhiev, PhD
University of Food Technologies, Plovdiv, Bulgaria
(Computer Systems and Technologies, Computer Graphics and Design, Web Programming, Internet Security.
Nondestructive Methods for Fruit and Vegetables Quality Assessment, AI in Food Industry.)
e-mail: n_katrandzhiev@uft-plovdiv.bg

Principal Guest Editor

Dr. P. Raviraj
Professor & Head,
Dept. of Computer Science & Engineering
GSSS Institute of Engineering and Technology for Women,
K R S Road, Metagalli,
Mysuru – 570016, Karnataka State, India
Office: 0821 – 4257304, Ext – 204
Mobile: +91 8296210432
e-mail: raviraj@gsss.edu.in
(Conceptual ideas of Theory of Computation, Compiler Design. Concepts on System Software.
Knowledge on Compiler Design, Image Processing & Pattern Recognition, Computer Networks, Web Technology, Information Security, Communication Networks, Computer Architecture, Cyber Security etc.)
more info

Co-Editors:


Dr. Jingshan Huang
Professor, School of Computing
Professor, College of Medicine
University of South Alabama
307 N University Blvd, United States
(Information Technology, Artificial Intelligence, Data Mining, and Biomedical Informatics. Ontology Matching/Alignment, Ontology Development, Ontology Quality. Semantic Web and Web Services.
Semantics-Enhanced Data Mining.
Biological and Biomedical Informatics.
Distributed Heterogeneous Information Management) Office: 251-460-7612
e-mail: huang@southalabama.edu
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Dr. Maode Ma
Research Professor
KINDI Center for Computing Research,
College of Engineering
Qatar University, Doha, Qatar
Office: H07, B211- 2
P. O. Box 2713
(Network Security, Wireless Networking)
Tel: +974 50408295, +974 4403 6387
e-mails:
mamaode@qu.edu.qa
acadmmd@gmail.com
mammdsg@ieee.org
more info