International Conference on IoT Applications in Agricultural Biotechnology
(ICIOAB-26)

26th September 2026 || Bhopal - India || Hybrid Mode

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on IoT Applications in Agricultural Biotechnology (ICIOAB), scheduled to be held on 26th September 2026 in Bhopal, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Biotechnology.

Each track offers researchers, academicians, industry professionals and practitioners a platform to present their work, exchange ideas and explore the advancements shaping the future of the domain. Every track is curated to encourage knowledge sharing, collaboration and meaningful discussion.

All Session Tracks
  • 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 agricultural biotechnology. Researchers are invited to present their findings on how these models can enhance decision-making and resource management in farming. Aligned SDGs: SDG 2 – Zero Hunger  |  SDG 12 – Responsible Consumption and Production
  • 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. Contributions should highlight innovative applications that improve crop yield and sustainability. Aligned SDGs: SDG 2 – Zero Hunger  |  SDG 12 – Responsible Consumption and Production
  • 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. Papers should address the challenges and successes of implementing these techniques in real-world agricultural settings. Aligned SDGs: SDG 2 – Zero Hunger  |  SDG 12 – Responsible Consumption and Production
  • Track 04 – Anomaly Detection in Smart Farming
    This session will delve into the methodologies for detecting anomalies in agricultural processes using IoT data. Participants are encouraged to share case studies and novel approaches that enhance operational efficiency. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 05 – Feature Extraction for Agricultural Data Analytics
    This track emphasizes the importance of feature extraction in the context of agricultural data analytics. Researchers are invited to present innovative techniques that improve the interpretability and performance of agricultural models. Aligned SDGs: SDG 2 – Zero Hunger  |  SDG 12 – Responsible Consumption and Production
  • Track 06 – Workflow Automation in Agricultural Biotechnology
    This session will explore the role of IoT in automating workflows within agricultural biotechnology. Contributions should focus on case studies that demonstrate efficiency gains and improved outcomes. Aligned SDGs: SDG 8 – Decent Work and Economic Growth  |  SDG 9 – Industry, Innovation and Infrastructure
  • 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 performance. Papers should discuss metrics and methodologies for assessing system effectiveness. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 08 – Industrial IoT Applications in Agriculture
    This session will highlight the transformative impact of industrial IoT applications on agricultural practices. Participants are encouraged to share insights on scalability, integration, and real-world applications. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 09 – Smart Farming Technologies and Innovations
    This track focuses on the latest technologies and innovations in smart farming, driven by IoT applications. Researchers are invited to discuss advancements that enhance productivity and sustainability. Aligned SDGs: SDG 2 – Zero Hunger  |  SDG 12 – Responsible Consumption and Production
  • Track 10 – Predictive Maintenance in Agricultural Equipment
    This session will explore predictive maintenance strategies for agricultural machinery using IoT data. Contributions should highlight methodologies that reduce downtime and maintenance costs. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 11 – Digital Twin Technologies in Agricultural Processes
    This track will examine the application of digital twin technologies in optimizing agricultural processes. Researchers are invited to present their work on how digital twins can simulate and enhance farming operations. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
Alignment with the Sustainable Development Goals
Alongside its academic focus, the conference promotes responsible research, ethical practice and knowledge-driven development. Its session tracks collectively contribute to the following 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
  • SDG 12 SDG 12
    Responsible Consumption and Production

Need Assistance?

If you need any clarification on the session tracks or support with your submission, please feel free to reach out to us:

Email: [email protected]

Phone: +91 9677007228