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ORIGINAL RESEARCH article

Front. Sustain. Food Syst.

Sec. Climate-Smart Food Systems

Volume 9 - 2025 | doi: 10.3389/fsufs.2025.1652332

This article is part of the Research TopicConservation Agriculture For Food Security And Climate ResilienceView all 11 articles

Spectral and Morphological Discrimination of Ficus and Moringa Species with Medical and Nutritional Relevance: Toward Sustainable Plant Utilization

Provisionally accepted
  • 1National Authority for Remote Sensing & Space Sciences, El-Nozha El-Gedida, Egypt
  • 2Faculty of Agriculture, Tanta University, Tanta, Egypt
  • 3RUDN University, Moscow, Russia
  • 4Ain Shams University, Cairo, Egypt

The final, formatted version of the article will be published soon.

Hyperspectral remote sensing provides a powerful platform for identifying plant species with pharmacological relevance by capturing subtle variations in pigment content, physiological traits, and leaf structure. This study employed spectral indices to evaluate and differentiate ten Ficus and two Moringa spp based on their reflectance characteristics and morphological features. Spectral data were collected using an ASD FieldSpec spectroradiometer, and vegetation indices such as NDVI, SR, PRI, ARI2, NDRE, and MCARI were calculated to infer photosynthetic performance and secondary metabolite potential. Descriptive morphological traits were recorded to aid in species-level discrimination. Statistical analyses, including one-way ANOVA and Linear Discriminant Analysis (LDA), identified specific bands in the NIR and SWIR II regions as particularly effective for distinguishing among the studied taxa. Notably, Ficus benghalensis, F. racemosa, and Moringa oleifera exhibited superior spectral profiles, reflecting high pigment density and physiological vigor, which correspond with their well-documented pharmacological roles. Conversely, species like F. religiosa and M. peregrina showed relatively subdued spectral signatures. Statistical analyses (ANOVA and LDA) confirmed the discriminatory power of NIR and SWIR II regions across species.Morphological traits provided taxonomic support but were less distinctive than spectral indices.These findings demonstrate the value of hyperspectral indices as rapid, non-destructive tools to identify and prioritize medicinally potent species within Ficus and Moringa spp, offering insights for pharmacognosy, conservation, and phytochemical prospecting. Moreover, by enabling efficient identification of underutilized species with confirmed medical value, this approach may support efforts to sustainably manage native plant resources, particularly in regions where such species contribute to traditional healthcare systems, nutritional supplementation, and the resilience of local livelihoods.

Keywords: Hyperspectral indices, Ficus spp, Moringa spp, medicinal plants, Plant Morphology

Received: 23 Jun 2025; Accepted: 12 Aug 2025.

Copyright: © 2025 Khdery, Shokr, Rebouh and Hewidy. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Ghada A Khdery, National Authority for Remote Sensing & Space Sciences, El-Nozha El-Gedida, Egypt
Mohamed Shokr, Faculty of Agriculture, Tanta University, Tanta, Egypt

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