Review – Plant nutritional status analysis employing the visible and near-infrared spectroscopy spectral sensor

Zahir, Siti Anis Dalila Muhammad; Jamlos, Mohd Faizal; Omar, Ahmad Fairuz; Jamlos, Mohd Aminudin; Mamat, Rizalman; Muncan, Jelena; Tsenkova, Roumiana

doi:10.1016/j.saa.2023.123273

Cited by 8 publications

(1 citation statement)

References 97 publications

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“…In a review paper, the nutritional status of fruits and vegetables was compared to the VIS-NIR spectral response, and the authors found that the absorbance at different wavelengths was related to chlorophyll, pigments, nutrients, water, and the chemical and physical state of the plants [7]. Healthy plants reflect little light in the VIS region, related to high pigment content, while reflectance in the NIR region is high, related to well-structured tissue.…”

Section: Introductionmentioning

confidence: 99%

Classification of the Nutritional Status of Peach Trees Using Indexes from Hyperspectral Images

Lleó,

Barreiro,

Lafuente

et al. 2023

Agronomy

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This paper presents a procedure for the comparison of two technologies developed to classify peach trees according to their nutritional status. The first technology uses the leaf SPAD-502 meter value to characterize tree classes as indicated by agronomist experts: sound, intermediate, and strong chlorosis trees. It is used as a reference for the second technology, which uses a combination of two multispectral indexes computed from reflectance hyperspectral images. Specifically, R_NDVI = (R800 − R670)/(R800 + R670) and HyperSPAD = (R940/R650) are computed for each leaf pixel. An automated methodology is proposed that sets two optical thresholds (three hyperspectral categories) in view of the outliers according to a normal distribution, together with an iterative optimization of the bounding that determines the best assignment of trees to one of the three SPAD_502 levels of nutritional status, as required for practical agronomical purposes such as fertilization. The Chi 2 distribution is used to confirm the similarity of both nutritional classifications. These results encourage the use of on-board multispectral cameras to monitor the nutritional status of trees and to establish a more efficient fertilization strategy where inputs are applied according to individual status, with the consequent reduction in losses of fertilizers such as nitrogen to the atmosphere, soil, and water resulting from over-application.

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Section: Introductionmentioning

confidence: 99%

Classification of the Nutritional Status of Peach Trees Using Indexes from Hyperspectral Images

Lleó,

Barreiro,

Lafuente

et al. 2023

Agronomy

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‘Candidatus Liberibacter asiaticus’ infection alters the reflectance profile in asymptomatic citrus plants

Vieira,

Santana,

Conceição

et al. 2024

Pest Management Science

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BACKGROUNDHuanglongbing (HLB) is the primary and most destructive disease affecting citrus, caused by a pathogen transmitted by an insect vector, Diaphorina citri. There are no curative methods for the disease, and rapid and accurate methods are needed for early detection in the field, even before symptoms appear. These will facilitate the faster removal of infected trees, preventing the spread of the bacteria through commercial citrus orchards.RESULTSIt was possible to determine ranges of hyperspectral bands that demonstrated significant differences in relative reflectance between treatments consisting of healthy and infected plants from the first days of evaluation, when plants infected with ‘Candidatus Liberibacter asiaticus’ (CLas) were still in the asymptomatic stage of the disease. From the Week 2 of evaluation [58 days after infection (DAI) of plants] until the last week, spectral differences were detected in the red edge region (660–750 nm). From the Week 6 onwards (86 DAI), spectral differences between healthy and symptomatic plants were observed in bands close to the visible region (520–680 nm).CONCLUSIONSpectral differences were detected in the leaves of C. sinensis infected by CLas before the appearance of symptoms, making it feasible to use the hyperspectral sensor to monitor the disease. Our results indicate the need for future studies to validate the use of hyperspectral sensors for managing and detecting HLB in commercial citrus orchards, contributing to the integrated management of the disease. © 2024 Society of Chemical Industry.

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Recent advances in non-invasive techniques for assessing food quality: Applications and innovations

Jimoh,

Hashim

2024

Advances in Food and Nutrition Research

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Review – Plant nutritional status analysis employing the visible and near-infrared spectroscopy spectral sensor

Cited by 8 publications

References 97 publications

Classification of the Nutritional Status of Peach Trees Using Indexes from Hyperspectral Images

Classification of the Nutritional Status of Peach Trees Using Indexes from Hyperspectral Images

‘Candidatus Liberibacter asiaticus’ infection alters the reflectance profile in asymptomatic citrus plants

Recent advances in non-invasive techniques for assessing food quality: Applications and innovations

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