AI-enabled pest management

Home >Courses >AI-enabled pest management

Mentor Based

Program Syllabus

Module 1

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.

Module 2

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.

Module 3

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.

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.

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.

02/02/2026
IST 04:30 PM

02/02/2026 – 02/04/2026
IST 05: 30PM

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.

Dr. S. Lekha Priyanka

Live & recorded sessions
e-Certificate upon completion
Post-workshop query support
Hands-on learning experience

Take your research to the next level with NanoSchool.

Get published in a prestigious open-access journal.

Become part of an elite research community.

Connect with global researchers and mentors.

Worth ₹20,000 / $1,000 in academic value.

We’re here for you!

(+91) 120-4781-217

AI-enabled pest management

Course Overview

Program Syllabus

About This Course

Aim

Workshop Objectives

Lead Instructor

Dr. Sarah Chen