Digitalised phenotyping of pepper (Capsicum spp.) using effective RGB imaging and optimised camera positioning.

Saved in:
Bibliographic Details
Title: Digitalised phenotyping of pepper (Capsicum spp.) using effective RGB imaging and optimised camera positioning.
Authors: Mensah EO; Gene Engineering Division, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju, 54874, Republic of Korea.; CSIR - Plant Genetic Resources Research Institute (CSIR-PGRRI), P. O. Box 7, Bunso, Eastern Region, Ghana., Song J; Gene Engineering Division, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju, 54874, Republic of Korea., Oh H; National Agrobiodiversity Center, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju, 54874, Republic of Korea., Abebe AM; Gene Engineering Division, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju, 54874, Republic of Korea., Chung YS; Department of Plant Resources and Environment, Jeju National University, Jeju, 63243, Republic of Korea., Baek J; Gene Engineering Division, National Institute of Agricultural Sciences, Rural Development Administration, Jeonju, 54874, Republic of Korea. firstleon@korea.kr., Mansoor S; Department of Horticulture, Faculty of Agriculture, Recep Tayyip Erdoğan University, Rize/Pazar, Türkiye, 53300, Turkey. mansoorshafi21@gmail.com.
Source: Scientific reports [Sci Rep] 2026 Apr 05. Date of Electronic Publication: 2026 Apr 05.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Print-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/s41598-026-46601-y