Role of AI in Environmental Monitoring
AI is a booming field today, with its widespread applications and benefits in various disciplines, including Environment. This workshop features the role of AI in Environmental Monitoring. This interactive session is designed to provide both foundational knowledge and practical experience with AI applications in the environmental sector. Over two days, we will explore the basics of AI, including machine learning and deep learning, and how these technologies are used to monitor critical environmental indicators such as air quality, soil health, and biodiversity.
​
Day 1 will focus on introducing key concepts, while Day 2 will offer hands-on practice with AI tools. By the end of the workshop, participants will gain valuable insights into how AI can transform environmental monitoring and explore career opportunities in this emerging field.

Dr. OWAIS ALI WANI
About the Teacher
Speaker description:
Educational Qualification: Ph.D (NET)
Young Scientist DST SYST 2021, designated at Sher-e-Kashmir University of Agricultural Sciences and Technology, Kashmir (SKUAST-K).
Swactha Saarthi Fellow, Govt of India. Innovation Fellow, Invest India.
Waste Management Ambassador to Principal Scientific Adviser to Govt of India.
Total Citations 1246
Cumulative impact factor 160.60
​
Email: owaisaliwani@gmail.com
Ph.no: +91 9797911324
-
Understand key AI concepts (Machine Learning, Deep Learning, Time Series) and their role in environmental monitoring.
-
Learn to monitor crucial environmental indicators (air quality, soil health, biodiversity) using AI.
-
Exposure to AI techniques like geostatistics and pedometrics for advanced soil and environmental analysis.
-
Hands-on experience with AI tools like QGIS and R for data analysis.
-
Explore career opportunities and how to transition into environmental roles using AI.
-
Certification:
-
Receive a Certificate of Completion upon a short test post sessions (live only) to boost your resume.
-
Kindly note: Without a successful test only a certification of attendance will be provided.​
COURSE SYLLABUS
Introduction to AI in Environmental Monitoring
1. Understanding AI and Its Fundamentals
-
Basic concepts of AI: Machine learning, deep learning, and Time Series
-
The role of AI in environmental monitoring
-
Simplified examples to help participants grasp AI fundamentals.
​
2. Environmental Monitoring Basics
-
What is environmental monitoring?
-
Key environmental indicators: Air quality, soil health, water pollution, and biodiversity.
-
How AI is applied to monitor and manage these indicators. Real-world examples of AI applications in areas like biodiversity monitoring, climate prediction, deforestation detection, air quality monitoring, etc.
3. AI Techniques for Environmental Monitoring
-
Basic Geostatistics vs advanced pedometrics
-
Introduction to pedometrics: Soil monitoring using AI tools.
-
Environmental covariates: concepts and data
-
Overview of digital maps and geostatistics in environmental monitoring.
Q&A and Discussion
DETAILS
Date: 16-17 November, 2024
Time: 6-8 pm (2 hours each day)
Platform: Zoom
COURSE FEE & DISCOUNT
COURSE FEE & DISCOUNT
-
Final price: 599/-
-
1st Early bird: SEATS FULL
-
2nd early bird: SEATS FULL
-
Group discount (minimum 3 individuals): 375/- per head
-
Organization discount (minimum 5 individuals): 345/- per head
-
Present interns: 325/-
-
Ex interns: 410/-
If you fall in the discount category (Group discounts/Present/Ex-Interns), you can pay the discounted amount directly to the bank account below.
Bank details:
-
Account type -current
-
Account name- Wildlifearc
-
AC no- 3346750332
-
IFSC- KKBK0002040
-
UPI ID- Wildlifearc@kotak
After the payment please send a screenshot or the payment along with the name, email addresses and phone numbers of the participants via WhatsApp to Ms. Amrita Tripathy at 9041507489.
GROUP DISCOUNTS ARE TO BE PAID TOGETHER AS A GROUP TO OUR UPI ID (E.G. for 3 members, kindly pay together & not separately
​
For Queries Contact Us
For Queries Contact Us
WhatsApp : +91 90415 07489
Email ID : thenatureseyeevents@gmail.com
​