HYPERSPECTRAL IMAGING IN PLANT VIRUS DETECTION: PRINCIPLES, APPLICATIONS, AND FIELD PROSPECTS

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Keywords

Artificial Intelligence
High-Throughput Phenotyping
Hyperspectral Imaging
Plant Virus Detection
Precision Agriculture

Magazine: April-June 2026

Page: 17 - 23

Volume: 6

Issue: 2

Issue Date: 10 July 2026

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Abstract

Plant viral diseases cause substantial crop losses worldwide and are often detected only after visible symptoms appear. Hyperspectral imaging (HSI) is a non-destructive sensing technology that captures reflected light across hundreds of narrow spectral bands (400–2500 nm), enabling early detection of biochemical changes in infected plants before symptom expression. Integrated with artificial intelligence (AI) and high-throughput phenotyping (HTP), HSI supports large-scale, automated virus detection. This article reviews HSI principles, spectral signatures, sensing platforms, computational analysis, and field challenges, highlighting its potential to advance precision agriculture, disease management, and sustainable food security.