International Journal of  Biological Technology
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Maridass,M.(2025). Plant Diversity of Tharagumalai Matha Church, Southern Western Ghats, Srivillipudur, Tamilnadu, South  India. Int. J. Biological Technology, Vol.No.16(1):1-8 (January-April,2025).
 
 

Volume   No.16(1)                            January - April,2025

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Plant Diversity of Tharagumalai Matha Church, Southern Western Ghats, Srivillipudur, Tamilnadu, South  India
 

 
 
M. Maridass
 
FISSD’S- Research Institute of Conservation Ecology (Run by Foundation for Innovative Science and Socio Economic Development (FISSD’S), Arunagiri Complex, Palayamkottai Tirunelveli,   Tamilnadu-627002,India.
 
Email: drmaridass@gmail.com; Mobile : +91-9487567793
 
 
Abstract
Plant biodiversity data are prerequisites for the sustainable management of forests. This study was conducted to catalog the plant diversity of Tharagumalai Matha Church in the Southern Western Ghats of Srivillipudur, Tamil Nadu. Documenting the variety of flora is essential for understanding the ecological conditions of the area and provides valuable insights into the economic, medicinal, and cultural significance of plant diversity. As the flora of Tharagumalai Matha Church has not been previously documented, this paper focuses on the plant diversity in the area. The results of the present study at Tharagumalai Matha Church in the Southern Western Ghats of Srivillipudur, Tamil Nadu, identified a total of 122 plant species, encompassing 101 genera across 39 families, including 2 species classified as ferns.
 
Keywords: Biodiversity, Taxonomy, plants, Tharagumalai Matha Church, Southern Western Ghats, Srivillipudur, Tamilnadu.
 
 

 

Implication of Artificial Intelligence to Determine Natural Disaster

 

Choudhury S. B., Dept. of Business Analytics, ISMS Sankalp Business School., Pune, Maharashtra

Garani S., Dept. of Fish Nutrition, WBUAFS, Kolkata, West Bengal

Emai Id.: somagofficial@gmail.com

*Corresponding author email id.: subhrodiptobasuchoudhury@gmail.com

 

ABSTRACT

Nature has been a very variable as its prediction has less accuracy. Artificial intelligence has been employed to predict the weather with optimum accuracy early hand to be prepared for any natural disaster that may about to occur. Early warning signal enables inhabitants to evacuate the place that is predicted to get affected. This paper will use different machine learning algo-rithms using different parameters like temperature, humidity, wind velocity, direction, etc. to feed the neural network and predict the occurrence of natural disaster. Comparative study will help to analyze efficiency of different machine learning algorithms in detecting and predicting the intensity of natural disaster. Further it will also classify the prediction of type of natural disaster like volcano, earthquake, flood, tsunami, etc.

Keywords: limited resource, efficiency, detection, machine learning, algorithms

 

Choudhury S. B. and Garani S., (2025). Implication of Artificial Intelligence to Determine Natural Disaster. Int. J. Biological Technology, Vol.No.16(1):9-16 (January-April,2025).