The Indian Space Research Organisation (ISRO) is set to host a free one-day course on Machine Learning Applications in Ecological Studies on November 27, 2024. This program is open to researchers, academicians, and students and aims to demonstrate the transformative impact of deep learning techniques in ecology. Participants will receive a free e-certificate upon successful completion.
What does the course offer?
The course, conducted via ISRO’s Indian Institute of Remote Sensing (IIRS) outreach facility, focuses on utilizing deep learning tools in ecological research. Topics include:
- Vegetation classification
- Deforestation monitoring
- Species identification
- Habitat mapping
Case studies will also be presented to showcase real-world applications of these techniques in addressing ecological challenges like climate prediction and sustainable environmental management.
Eligibility and Benefits
The program is designed for individuals with a graduate degree or higher, especially those working or studying in fields, such as:
- Ecology
- Environmental Sciences
- Geospatial Technology
- Vegetation Studies
The best part? No registration fee is required, and participants will receive a free e-certificate, making it an excellent opportunity for skill enhancement.
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How to Apply?
The course will be conducted via the IIRS e-class portal. With a proven track record of over 163 successful outreach programs involving more than 5.8 lakh participants from 3,200+ institutions, this initiative is expected to draw significant interest.
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Register for the ISRO course
Why does this course matter?
Deep learning, a subset of artificial intelligence, is reshaping ecological research by identifying patterns in large datasets with techniques like Convolutional Neural Networks (CNNs). These innovations enable advancements in:
- Tracking long-term deforestation trends
- Mapping vegetation types with greater precision
- Identifying plant and animal species through satellite imagery
This ISRO workshop is more than just a learning opportunity; it’s a chance to empower researchers and students with tools to tackle some of the world’s most pressing ecological challenges.
