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Satellite Symposium 2

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  • Satellite Symposium 2
  • 19 November, 2026
  • Main Hall
  • ...............

Artificial Intelligence and Machine Learning for Precision Weed Management

Rapid advances in Artificial Intelligence (AI) and Machine Learning (ML) are transforming modern agriculture by enabling data-driven, site-specific, and sustainable weed management strategies. Recognizing the growing importance of these technologies, a Satellite Symposium on “Artificial Intelligence and Machine Learning for Precision Weed Management” is being organized as part of the 4th International Weed Conference.

This symposium will serve as a dedicated platform for researchers, academicians, industry professionals, policymakers, and technology developers to exchange knowledge, innovations, and experiences related to AI- and ML-based solutions for weed detection, mapping, prediction, and management.

Organizer

Chair


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Co-Chair


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Convenor


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Objectives of the Symposium:

  • To highlight recent advancements in AI and ML applications for precision weed management

  • To discuss the integration of remote sensing, robotics, UAVs, and decision-support systems in weed science Innovative research methodologies and experimental design

  • To promote interdisciplinary collaboration among weed scientists, data scientists, engineers, and agri-tech industries

  • To explore future research directions and practical adoption of smart weed management technologies

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Key Themes

  • AI- and ML-based weed identification and classification
  • Remote sensing, UAVs, and satellite imagery for weed mapping
  • Robotics and automated weed control systems
  • Decision support systems and predictive modeling
  • Big data analytics and digital agriculture for sustainable weed management
  • Challenges and opportunities in field-level implementation

Who Should Attend

  • Weed scientists and agronomists
  • AI, ML, and data science researchers
  • Agricultural engineers and technologists
  • Industry professionals and startups in agri-tech
  • Students and early-career researchers
  • Policymakers and extension professionals

Format of the Symposium

  • Invited keynote lectures by leading experts
  • Oral and poster presentations
  • Panel discussions and interactive sessions
  • Industry and technology showcases

Expected Outcomes

  • Knowledge sharing on cutting-edge AI and ML tools in weed management
  • Strengthened collaboration between research institutions and industry
  • Identification of gaps and future priorities in precision weed management
  • Contribution towards sustainable and climate-smart agriculture