ITSA 2026 welcomes all papers based on the fields of smart agriculture. Submitted papers will be reviewed by experts in the field based on criteria such as originality, importance, and, quality. Topics of interest for submission include, but are not limited to:

Track 1: Models and Algorithms for Smart Agriculture

Large Model Applications in Precision Farming
Trait Prediction Models for Crop Breeding
AI-driven Decision Support Systems in Agriculture
Cloud Computing and Edge Computing in Agriculture
Digital Twins in Agriculture
Machine Learning for Crop Yield Prediction
AI-powered Farm Management
Deep Learning in Plant Disease Detection and Diagnosis
Agricultural Systems Modeling and Simulation
Data-driven Algorithms for Optimal Resource Allocation
Predictive Analytics for Agricultural Production Management
Intelligent Models for Climate Adaptation in Farming

Track 2: Agricultural Sensors, Robotics and Automation

Environmental Monitoring Sensors
Soil Moisture and Temperature Sensors
Crop Health Monitoring Sensors
Wireless sensor networks in agriculture
Autonomous Tractors and Farm Vehicles
Smart Planting, Irrigation, and Harvesting Systems
Robotics for Soil Cultivation and Crop Management
Automated Crop Monitoring and Pest Control Systems
Drone-assisted Agricultural Machinery Operations
IoT-enabled Machinery for Real-time Monitoring
Automated Crop Planting
Intelligent Harvesting Robots
Land Leveling and Seeding Robotics
Automated Disease Detection
Remote Control of Agricultural Equipment
Intelligent Water Quality Monitoring Systems

Track 3: Smart Livestock and Precision Animal Farming

Automated Feeding
Intelligent Monitoring Systems for Animal Health
Precision livestock Farming
GPS-based Grazing Management Systems
Modeling and Analysis of Animal Behavior
Intelligent Barn Design and Optimization
AI Applications in Livestock Breeding and Genetics
Smart Detection of Reproductive Behavior
Wearables and Sensors for Livestock Tracking and Monitoring
Intelligent Systems for Managing Livestock Waste
Smart Technologies for Behavior Analysis and Animal Welfare
Ethical Practices in Smart Livestock Farming

Track 4: Agricultural Big Data and Supply Chain

Data Mining in Agriculture
Agricultural Big data Collection and Processing Technologies
Precision Farming Data Analysis
Data-driven Decision-making in Agricultural Production
Large-scale Sensor Data Processing
Multi-source Data Integration
Big Data Applications in Agricultural Supply Chain
Smart Supply Chain Management in Agriculture
Optimization of Distribution Networks in Agriculture
Automated Logistics and Transportation in Agribusiness
IoT-enabled Tracking of Agricultural Products
Cold Chain Monitoring and Management Technologies
Risk Management in Agricultural Supply Chain Systems

Track 5: Smart Technologies for Sustainable and Resilient Agriculture

Blockchain for Sustainable Agriculture
AI-based Systems for Sustainable Water Management
Greenhouse Gas Monitoring and Mitigation Systems
Climate-smart Farming and Climate Change Mitigation Technologies
Smart Technologies for Reducing Carbon Footprint
Resource Optimization and Waste Reduction in Smart Agriculture
Sustainable Pest Control Technologies
Solar-powered Farming Systems
Biogas Systems for Waste-to-energy Conversion on Farms
Smart Solutions for Energy Efficiency