“Empowering Environmental Surveillance with Autonomous Drone Technology”
Autonomous drones have become a powerful tool for environmental surveillance, offering the ability to collect real-time data from remote and hard-to-reach locations. This program introduces participants to drone technology, focusing on its applications in monitoring deforestation, tracking wildlife, assessing pollution levels, and managing natural resources. Participants will learn how drones equipped with sensors and AI-powered analytics can capture critical data, providing timely insights for environmental protection and restoration efforts.
The course combines theoretical knowledge with practical training, covering the design and operation of autonomous drones, sensor integration, data collection techniques, and environmental applications. Participants will also explore regulatory frameworks, ethical considerations, and case studies where drones have been used successfully for environmental monitoring. By the end of the program, participants will be able to design and deploy autonomous drones for specific environmental surveillance tasks and interpret the collected data for actionable insights.
This program aims to provide participants with in-depth knowledge of using autonomous drones for environmental monitoring and data collection. It focuses on drone technologies, remote sensing, and AI-driven analytics for real-time environmental surveillance, helping participants develop practical skills for addressing environmental challenges such as deforestation, pollution, and wildlife conservation.
Week 1: Introduction to AI in Energy Systems
Week 2: AI for Demand Forecasting and Load Management
Week 3: Renewable Energy Integration with AI
Week 4: Case Studies
Standard: ₹8,998 | $198
Discounted: ₹4499 | $99
We accept 20+ global currencies. View list →
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
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Live, mentor-led and certified. Dates and times in IST.
with Abhimanyu
