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AI-enabled pest management

From Immune Pathways to AI-Powered Pest Management

★ 4.1 (31 ratings)2–4 Feb 202605: 30PM IST3 DaysCertificate
The live sessions are over · get the full recording

About This Course

A 3-day, globally relevant workshop on insect immunity and AI-enabled pest management—covering immune pathways, immune priming, RNAi/biopesticide relevance, and predictive modeling. Participants will complete guided, hands-on exercises (40%) using datasets and open tools to build practical insights for research and real-world pest control.

Aim

To equip participants with a strong understanding of insect immune systems and the practical application of artificial intelligence in analyzing immune responses, predicting pest resistance, and developing sustainable, next-generation pest control strategies through a balanced blend of theory and hands-on learning.

Workshop Objectives

  • To introduce the fundamentals of insect immunology, including humoral and cellular immune pathways and immune priming.

  • To explain the role of artificial intelligence in analyzing insect immune parameters and gene expression data.

  • To demonstrate how AI-driven approaches can predict insect resistance to pathogens, pesticides, and biocontrol agents.

  • To provide hands-on experience with open-source tools for immune response modeling and data-driven pest management.

  • To highlight global case studies linking insect immunity, AI, and sustainable pest control practices.

Next: Day-by-day →

Workshop Structure

Day 1: AI Integration with Insect Immunology for Advanced Pest Control

  • Global challenges in pest control: Understanding the need for sustainable, AI-powered solutions.

  • Recent advancements in insect immunology: Highlighting cutting-edge research in immune responses and pest management.

  • AI integration: How machine learning and AI models are transforming pest control strategies.

  • Case studies: Successful global applications of AI in pest management.

  • 🛠️ Hands-on Tool: Simulate pest immune responses and explore AI-driven predictive models for pest control.

Day 2: Mechanisms of Immune Response & AI-Driven Pest Resistance

  • In-depth exploration of immune pathways (humoral and cellular responses) in insects.

  • AI optimization: How AI is enhancing pest resistance strategies across regions.

  • Immune priming: Global applications in integrated pest management, especially in diverse climates.

  • Research-oriented discussions: Key findings and ongoing research in insect immunity.

  • 🛠️ Hands-on Tool: Analyze immune responses of pests from different ecosystems (e.g., tropical vs. temperate zones) using real-world data.

Day 3: Biopesticides, RNAi Technology & Future AI Applications in Pest Management

  • AI in biopesticide development: Cutting-edge research on AI-driven biocontrol agents.

  • RNAi technology: Exploring its role in sustainable pest management and potential breakthroughs.

  • AI-driven solutions: Real-world applications and the future of AI in pest management systems.

  • Collaborative panel discussion: How AI and biotechnology are shaping the future of pest management.

  • 🛠️ Hands-on Tool: Develop biopesticide prediction models and simulate pest control outcomes using AI.

Who Should Enrol?

  • Entomologists & Immunologists – Focused on insect immunity and pest control.

  • AI & Machine Learning Professionals – Applying AI to pest management and biological research.

  • Agricultural Scientists – Seeking AI-driven solutions for pest control.

  • Biotechnologists – Involved in biopesticide development and RNAi technology.

  • Environmental Scientists – Focused on sustainable pest management.

  • Researchers & Academics – In immunology, AI, or pest control.

  • Students & Graduate Researchers – Interested in insect immunology and AI applications in pest management.

Next: Dates →

Important Dates

Registration Ends

February 2, 2026
IST 04:30 PM

Workshop Dates

February 2, 2026 – February 4, 2026
IST 05: 30PM

Workshop Outcomes

  • Understand core concepts of insect immunology, including immune pathways, immune priming, and host–pathogen interactions.
  • Interpret how artificial intelligence and machine learning are applied to analyze insect immune responses and biological datasets.

  • Apply AI-based approaches to predict pest resistance and immune suppression mechanisms.

  • Analyze real-world case studies involving biopesticides, RNAi, and immune-modulating agents.

  • Develop basic predictive models for pest management using immune and molecular data.

  • Gain insights into global, sustainable, and data-driven pest control strategies relevant to academia and industry.

Next: Mentor →

Meet Your Mentor(s)

Mentor Photo

Dr. S. Lekha Priyanka

more


Next: Fees →

Recording fee

Participants in India

₹2,499

Participants outside India

$50

  • All session recordings
  • Study material
  • Certificate after completion
  • 1-year access

Get the recording

The live sessions of this workshop are over, so the live fees no longer apply. The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.

Next: FAQ →

Frequently asked questions

Will I get the recording?

Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).

What if I miss a live session?

Watch the recording in your dashboard and send your questions to the mentor through the support desk.

Do I get a certificate?

Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.

Which fee category applies to me?

Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.

How can I pay?

By card, UPI or PayPal on the payment page; international bank transfer is also available there.

What is the refund policy?

See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy

Need Help?

We’re here for you!


(+91) 120-4781-217
WhatsApp +91 99581 61117

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