Conference Session Tracks

SDG Wheel

Aligned with

UN SUSTAINABLE DEVELOPMENT GOALS

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals.

SDG 2
SDG 2 Zero Hunger
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
TRACK 01

IoT-Driven Predictive Modeling in Agriculture

This track focuses on the development and application of predictive modeling techniques powered by IoT technologies in a...

TRACK 02

Supervised and Unsupervised Learning in Agricultural Systems

This session will explore the use of supervised and unsupervised learning algorithms in analyzing agricultural data. Con...

TRACK 03

Deep Learning Techniques for Crop Monitoring

This track aims to discuss the integration of deep learning methodologies in the monitoring and analysis of crop health....

TRACK 04

Anomaly Detection in Smart Farming

This session will delve into the methodologies for detecting anomalies in agricultural processes using IoT data. Partici...

TRACK 05

Feature Extraction for Agricultural Data Analytics

This track emphasizes the importance of feature extraction in the context of agricultural data analytics. Researchers ar...

TRACK 06

Workflow Automation in Agricultural Biotechnology

This session will explore the role of IoT in automating workflows within agricultural biotechnology. Contributions shoul...

TRACK 07

System Monitoring and Performance Evaluation

This track is dedicated to the monitoring of IoT systems in agricultural settings and the evaluation of their performanc...

TRACK 08

Industrial IoT Applications in Agriculture

This session will highlight the transformative impact of industrial IoT applications on agricultural practices. Particip...

TRACK 09

Smart Farming Technologies and Innovations

This track focuses on the latest technologies and innovations in smart farming, driven by IoT applications. Researchers ...

TRACK 10

Predictive Maintenance in Agricultural Equipment

This session will explore predictive maintenance strategies for agricultural machinery using IoT data. Contributions sho...

TRACK 11

Digital Twin Technologies in Agricultural Processes

This track will examine the application of digital twin technologies in optimizing agricultural processes. Researchers a...



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