International Conference on Artificial Intelligence
and Machine Learning for Agro-Ecosystems

(ICAIML-AE 2026) – Hybrid Mode

Organized By: Faculty of Science and Technology, Vishwakarma University
In collaboration with Binghamton University, Thomas J. Watson College of Engineering and Applied Science, New York, USA

Date: 2^nd – 3^rd July 2026

Location: Vishwakarma University, Pune, Maharashtra, India

Call For Papers

The International Conference on Artificial Intelligence and Machine Learning for Agro-Ecosystems (ICAIML-AE 2026) invites full-length original research contributions from researchers, academicians, industry professionals, R&D organizations, government bodies, and research scholars across the globe.

The conference aims to bring together leading experts to discuss recent advances, challenges, and future directions in artificial intelligence, machine learning, and intelligent systems applied to agriculture and agro-ecosystems.

Conference Scope

ICAIML-AE 2026 focuses on theoretical foundations, methodological advances, and real-world applications of AI and ML for sustainable, efficient, and intelligent agro-ecosystems.

Topics of Interest

Research manuscripts are invited on (but not limited to) the following themes:

Track 1: Core Artificial Intelligence & Machine Learning

Machine Learning, Deep Learning & Hybrid Models
Agentic AI, Generative AI & Large Language Models (AGIX)
Explainable AI (XAI) & Interpretable Models
Reinforcement Learning & Multi-Agent Systems
Data Mining & Predictive Analytics
Optimization Algorithms & Metaheuristics
AI Model Generalization & Robustness
Federated Learning & Distributed AI
Trustworthy, Ethical & Responsible AI

Track 2: Intelligent Agro-Ecosystems & Smart Farming

Precision Agriculture & Site-Specific Crop Management
Crop Yield Prediction & Disease Detection
Soil Health Monitoring & Nutrient Analytics
Irrigation Intelligence & Water Resource Optimization
Livestock Monitoring & Animal Health Analytics
Smart Greenhouses & Controlled Environment Agriculture
Agro-Ecological Modeling & Biodiversity Analytics
Farm Automation & Robotics in Agriculture

Track 3: Sensing, IoT & Digital Agriculture Infrastructure

IoT Architectures for Smart Farming
Sensor Networks & Real-Time Monitoring Systems
UAVs, Drone Analytics & Aerial Imaging
Remote Sensing & Satellite Data Analytics
Hyperspectral & Multispectral Imaging
Edge AI & TinyML in Agriculture
Cloud Computing & High-Performance Computing for Agro Systems
Digital Twins & Simulation Models for Farms

Track 4: Sustainability, Climate & Environmental Intelligence

Climate-Resilient and Adaptive Agriculture
AI for Carbon Footprint Estimation & Reduction
Green AI & Energy-Efficient ML Models
Water-Energy-Food Nexus Modeling
Sustainable Resource Management
Disaster Prediction & Risk Analytics in Agriculture
Environmental Impact Assessment using AI

Track 5: Food Security, Supply Chain & Agri-Business Intelligence

AI for Food Security & Nutritional Analytics
Supply Chain Optimization & Smart Logistics
Blockchain for Agro Supply Chains
Demand Forecasting & Market Intelligence
Agri-FinTech & Credit Risk Analytics
AI in Agri-Business Management

Track 6: Industry, Policy & Real-World Deployments

Industrial Case Studies in Smart Agriculture
Scalable AI Deployment in Rural Infrastructure
AI for Agricultural Policy & Governance
Public–Private Partnerships in AgriTech
Socio-Economic Impact Assessment of AI Adoption
Startups, Innovation & Technology Transfer in AgriTech

Types of Submissions

Full-length original research papers
Review and survey papers
Industry and application-oriented papers
Special session papers

Review & Ethics Policy:

All submissions must represent original and unpublished workand must not be under review elsewhere. Submissions are evaluated through a rigorous double-blind peer review process. Papers are subject to plagiarism and AI-content compliance checks, and non-compliant submissions may be desk rejected.

Detailed submission guidelines, formatting instructions, and the paper submission link are available under the “Submission & Review” tab.

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