Skip To Main Content
Agradeep Mohanta on Muck Rack

Agradeep Mohanta

As seen in: Nature, Wiley Online Library
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Agradeep

Contact Agradeep, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Integrated machine learning and AHP-based framework for spatial delineation of rainwater harvesting potential

|
By Agradeep Mohanta, Dharmendra Singh, Shuchi Mishra, Kanwarpreet Singh, Abhishek Sharma, Amenjor Senagah, Aditya Kumar Tiwary, Mohamed Mattar, Ameet Yadav, Chandni Thakur
| Nature Verified
Abstract Groundwater scarcity and its declining situation in the semi-arid area of Jaipur district, Rajasthan make it imperative to adopt scientific solutions to locate suitable rainwater harvesting sites. This study combines Geographic Information Systems (GIS), Analytical Hierarchy Process (AHP) and machine learning (ML) algorithms for delineating the RWH suitability zones.
Open in Who Shared Issue with article?

Harnessing Spectral Libraries From AVIRIS-NG Data for Precise PFT Classification: A Deep Learning Approach

|
By Agradeep Mohanta, RS-GIS Laboratory, Garge Sandhya Kiran
| Wiley Online Library Verified
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The software and code used in this study are available from the corresponding author upon reasonable request. References , , and . 2013. “Random Forest Regression and Spectral Band Selection for Estimating Sugarcane Leaf Nitrogen Concentration Using EO-1 Hyperion Hyperspectral Data.” International Journal of Remote Sensing 34, no. 2: 712–728. , , , and . 2021.
Open in Who Shared Issue with article?

Harnessing Spectral Libraries From AVIRIS‐NG Data for Precise PFT Classification: A Deep Learning Approach

|
By Agradeep Mohanta, RS-GIS Laboratory, Garge Sandhya Kiran, Pankajkumar C. Prajapati
| Wiley Online Library Verified
Conflicts of Interest The authors declare no conflicts of interest. References , , and . 2013. “Random Forest Regression and Spectral Band Selection for Estimating Sugarcane Leaf Nitrogen Concentration Using EO-1 Hyperion Hyperspectral Data.” International Journal of Remote Sensing 34, no. 2: 712–728. , , , and . 2021. “Performance Evaluation of Secured Network Traffic Classification Using a Machine Learning Approach.” Computer Standards & Interfaces 78: 103545. , , , , and . 2021.
Open in Who Shared Issue with article?
See all 3 articles