Bitki Hastalıklarının Erken Teşhisinde Vis-NIR Spektroskopi Yöntemi

Year 2025, Volume: 30 Issue: 2, 848 - 859, 31.08.2025

Ayşin Bilgili , Ali Volkan Bilgili

Abstract

Son yıllarda uzaktan algılama tekniklerinin geliştirilmesi, bitki koruma uzmanlarına ürünlerin bitki sağlığı durumunu değerlendirmek için yeni mekanizmalar sunmuştur. Görülebilir ve yakın kızılötesi yansıma spektroskopisi (Vis-NIR) gibi hiperspektral sensörlerden elde edilen anlamca zengin veriler, bitki koruma önlemlerinin zamanında ve rasyonel bir şekilde uygulanmasına olanak tanır. Bu spektral veriler, kimyasal parametreler hakkında spektral absorpsiyon ve karakteristikleri aracılığıyla bilgi sağlayarak, hastalık enfeksiyonu veya strese bağlı anormal durumların erken tespitine yardımcı olur. Özellikle belirtiler ortaya çıkmadan önce bitki hastalıklarının tespiti, etkili stratejilerin uygulanması ve tarımda büyük kayıpların önlenmesi açısından büyük önem taşır. Bu derleme çalışması, görünür ve yakın kızılötesi (Vis-NIR) spektroskopi tekniğinin erken bitki hastalığı tespitindeki potansiyelini değerlendirmektedir. Vis-NIR spektroskopisi, tarımsal ürünlerin geniş bir yelpazesindeki çeşitli parametrelerin invazif olmayan analizi ve tanımlanması için kanıtlanmış bir ölçüm teknolojisidir. Bu yöntemin, bitkilerde sağlıklı ve hastalıklı olma durumlarını ayırt edebilme yeteneği kanıtlanmıştır. Bu nedenle bilim insanları, belirtiler gözle görülmeden önce hastalıkların veya stresin erken tespiti için bu yaklaşımı uygulamaya çalışmaktadır.

Keywords

Bitki hastalıkları , Erken tanı , Hassas tarım , Spektroskopi , Vis-NIR , Yeni teşhis methodu

Thanks

Bu çalışmanın hazırlanmasında teknik destek ve şekil tasarımına katkı sağlayan Hakan BİLGİLİ’ye teşekkür ederim.

Vis-NIR Spectroscopy Method for Early Diagnosis of Plant Diseases

Abstract

In recent years, the development of remote sensing techniques has provided plant protection specialists with new mechanisms to assess the plant health status of crops. Meaning-rich data obtained from hyperspectral sensors, such as visible and near-infrared reflectance spectroscopy (Vis-NIR), allows for the timely and rational implementation of plant protection measures. These spectral data provide information about chemical parameters through absorption patterns and properties, aiding in the early detection of abnormal conditions caused by disease infection or stress. Particularly, the detection of plant diseases before symptoms appear is crucial for implementing effective strategies and preventing significant losses in agriculture. This review study evaluates the potential of the visible and near-infrared (Vis-NIR) spectroscopy technique in early plant disease detection. Vis-NIR spectroscopy is a proven measurement technology for the non-invasive analysis and identification of various parameters across a wide range of agricultural products. This method has been shown to distinguish between healthy and unhealthy states in plants. Therefore, scientists are working to apply this approach for the early detection of diseases or stress before symptoms become visible.

Keywords

Early diagnosis , New detection method , Plant diseases , Precision agriculture , Spectroscopy , Vis-NIR

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