The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Deep Learning-Based Forecasting of Invasive Plant Spread Across Regions
Abstract
This study explores the Geographic Variation in Growth Patterns of Invasive Plants by integrating ecological field data, advanced feature selection techniques, and deep learning methods. Invasive plant species pose serious threats to biodiversity and agriculture, especially when their growth patterns vary across regions due to environmental and human-influenced factors. Focusing on major spice-growing districts such as Guntur and Krishna, the dataset includes records of species like cinnamon, coriander, cumin, black pepper, turmeric, and chili, along with environmental attributes like soil composition, temperature, and rainfall. After rigorous preprocessing, Particle Swarm Optimization (PSO) was employed to extract the most relevant features influencing invasive species richness. A Gated Recurrent Unit (GRU) model was developed to predict the temporal and spatial growth patterns, capturing complex dependencies across multiple time steps.
Related Content
|
Rajeshree P. Patel, Kailash P. Patel, Jagruti K. Barot, Pravinsang P. Dodia, Vishal M. Makwana.
© 2026.
36 pages.
|
|
Sadia Gull, Ansa Asghar, Farooq Ahmad, Muhammad Sajid Aqeel Ahmad, Amina Ameer, Usman Tufail, Zahida Parveen, Jazab Shafqat.
© 2026.
30 pages.
|
|
safura Bibi, Muhammad Sajid Aqeel Ahmad, Mansoor Hameed, Zunaira Naeem, Muaz Ameen.
© 2026.
28 pages.
|
|
Kunal N. Odedra, Krishna B. Bhutiya, Nohil Kodiyatar, B. A. Jadeja.
© 2026.
42 pages.
|
|
P. Selvakumar, A. Rohini, M. R. Arun, T. C. Manjunath.
© 2026.
28 pages.
|
|
Amina Farooq, Farooq Ahmad, Ansa Asghar, Sajid Aqeel, Anum Javaid, Zunaira Zulifqar, Usman Tufail, Jazab Shafqat, Mishal Iqbal, Nida Hussain, Muhammad Sufyan, Sana Maqsood.
© 2026.
28 pages.
|
|
Laxmi Biban, Anjum Parvez, S. Swathi, Shaista Md. Mumtaz Khan, Garima Mishra, P. Selvakumar, T. C. Manjunath.
© 2026.
30 pages.
|
|
|