Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 24th Aug 2026, 04:43:08am America, Santiago
|
Daily Overview |
| Session | |
|
53B: Computer Science Location: Room 02: Aconcagua | |
    | |
5:34pm - 5:46pm
A Modular IoT-TinyML Architecture for Early Detection of Citrus Diseases 1: Corporación Universitaria Minuto de Dios - (CO), Colombia; 2: Universidad de Las Americas - (CL), Chile; 3: Universidad Autónoma de Manizales - (CO), Colombia Citrus diseases such as Huanglongbing (HLB), citrus canker, and Citrus Tristeza Virus (CTV) cause substantial economic losses, yet conventional detection methods remain costly and inaccessible to smallholder farmers in developing regions. This paper presents a modular IoT-TinyML architecture for early disease detection that integrates low-cost sensors with edge-based machine learning. The three-layer architecture (Perception, Processing, Application) enables real-time environmental monitoring and on-device visual classification using dual TinyML models for leaf and fruit analysis. A confidence-based decision fusion strategy balances sensitivity and specificity. Solar power and lightweight protocols ensure energy autonomy and remote operability without internet dependency. This edge-computing approach reduces detection latency and costs compared to cloud-based solutions, offering a scalable and practical precision agriculture tool for resource-constrained environments. | |