Non-Invasive Detection of Water Stress in Jalapeño Pepper (Capsicum annuum L. var. Huichol) Through Foliar Vascular Network Analysis Using Multi-Modal VIS-NIR and Thermal Imaging
Water stress is a critical limiting factor in horticultural crop productivity. This study presents a non-invasive approach for detecting water stress in jalapeño pepper (Capsicum annuum L. var. Huichol) through visible–near-infrared (VIS-NIR) imaging-based quantification of the foliar vascular network under controlled conditions. Nine plants were subjected to three irrigation regimes (100%, 50%, and 0% of daily water loss) and monitored over 13 days, acquiring VIS-NIR and LWIR images under light and darkness conditions. Using a digital image processing pipeline, foliar vascular networks were segmented from VIS-NIR images, and the vascular proportion index (Rv) was computed. A factorial ANOVA revealed significant main effects for irrigation treatment (F = 11.01, p < 0.001), illumination (F = 13.01, p < 0.001), and spectral modality (F = 422.77, p < 0.001), with the spectral band accounting for the highest variance (ηp2 = 0.079). The VIS-NIR + Light configuration produced the clearest treatment discrimination, with significant pairwise differences between 50% WL and both 100% WL (MD = 0.025, p < 0.0001) and 0% WL (MD = 0.020, p = 0.0001). This VIS-NIR-based technique offers a practical, scalable alternative for real-time monitoring of plant water status in horticultural systems.
Authors
- Gerardo Acosta‐García (ORCID: https://orcid.org/0000-0003-3856-7136)
- José Eleazar Peralta-López
- Juan Prado-Olivarez (ORCID: https://orcid.org/0000-0001-8390-3552)
- Luz del Carmen García-Rodríguez (ORCID: https://orcid.org/0000-0003-0787-212X)
- José A. Padilla-Medina (ORCID: https://orcid.org/0000-0002-1642-7274)
- Alejandro Espinosa Calderón (ORCID: https://orcid.org/0000-0002-1758-4212)
- Agustin Sancen-Plaza (ORCID: https://orcid.org/0000-0003-3847-970X)
Institutions
- Tecnológico Nacional de México (MX)
- Technological Institute of Celaya (MX)
Publication Details
- Journal
- AgriEngineering
- Published
- 2026-09-16
- DOI
- https://doi.org/10.3390/agriengineering8090389
- Primary Topic
- Remote Sensing in Agriculture
- Type
- article
- Field-Weighted Citation Impact
- 0.00