A data-driven approach to forest health assessment through multivariate analysis and machine learning techniques.
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| Title: | A data-driven approach to forest health assessment through multivariate analysis and machine learning techniques. |
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| Authors: | Khan RWA; Department of Botany, The University of Azad Jammu and Kashmir, Muzaffarabad, Pakistan., Shaheen H; Department of Botany, The University of Azad Jammu and Kashmir, Muzaffarabad, Pakistan., Islam Dar MEU; Department of Botany, The University of Azad Jammu and Kashmir, Muzaffarabad, Pakistan., Habib T; Department of Botany, The University of Azad Jammu and Kashmir, Muzaffarabad, Pakistan., Manzoor M; Department of Plant Sciences, Quaid-i-Azam University, Islamabad, 45320, Pakistan., Gillani SW; Department of Plant Sciences, Quaid-i-Azam University, Islamabad, 45320, Pakistan., Al-Andal A; Department of Biology, College of Science, King Khalid University, Abha, 61413, Saudi Arabia., Ayoola JO; Department of Forest Resources Management, Ladoke Akintola University of Technology, Ogbomoso, P.M.B. 4000, Nigeria. joayoola68@lautech.edu.ng., Waheed M; Department of Botany, Faculty of Life Science, University of Okara, Okara, 56130, Pakistan. |
| Source: | BMC plant biology [BMC Plant Biol] 2025 Jul 15; Vol. 25 (1), pp. 915. Date of Electronic Publication: 2025 Jul 15. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100967807 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2229 (Electronic) Linking ISSN: 14712229 NLM ISO Abbreviation: BMC Plant Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1471-2229 |
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| DOI: | 10.1186/s12870-025-06937-5 |
