Precision biochar yield forecasting employing random forest and XGBoost with Taylor diagram visualization.

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Bibliographic Details
Title: Precision biochar yield forecasting employing random forest and XGBoost with Taylor diagram visualization.
Authors: Uppalapati S; Department of Mechanical Engineering, Marri Laxman Reddy Institute of Technology and Management, Hyderabad, 500043, India., Paramasivam P; Department of Research and Innovation, Saveetha School of Engineering, SIMATS, Chennai, Tamil Nadu, 602105, India. lptprabhu@gmail.com., Kilari N; VEMU Institute of Technology, Chittoor, Andra Pradesh, 517112, India., Chohan JS; School of Mechanical Engineering, Rayat Bahra University, Mohali, 140104, India.; Faculty of Engineering, Sohar University, 7119, Sohar, Oman., Kanti PK; University Center for Research and Development (UCRD), Chandigarh University, Mohali, 140413, Punjab, India., Vemanaboina H; VEMU Institute of Technology, Chittoor, Andra Pradesh, 517112, India., Dabelo LH; Department of Mechanical Engineering, Mattu University, P.O. Box 318, Mettu, Ethiopia. leliso.hobicho@meu.edu.et., Gupta R; Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, 140401, Punjab, India.
Source: Scientific reports [Sci Rep] 2025 Feb 27; Vol. 15 (1), pp. 7105. Date of Electronic Publication: 2025 Feb 27.
Publication Type: Journal Article; Retracted Publication
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-025-91450-w