Monitoring drought response and chlorophyll content in Quercus by consumer-grade, near-infrared (NIR) camera: a comparison with reflectance spectroscopy

Raddi, Sabrina; Giannetti, Francesca; Sofía, María; Farinella, Fabio; Chirici, Gherardo; Tani, Andrea; Maltoni, Alberto; Mariotti, Barbara

doi:10.1007/s11056-021-09848-z

Cited by 14 publications

(4 citation statements)

References 98 publications

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“…In fact, P-enriched fertilization performed better than standard fertilization even though the size at the end of nursery cultivation was higher [ 69 ], especially in Q. robur. Previous studies with this experiment showed that P-enriched fertilization promoted a higher number of green vs. dry leaves than other fertilizations [ 88 ].…”

Section: Discussionmentioning

confidence: 99%

Cultivation Using Coir Substrate and P or K Enriched Fertilizer Provides Higher Resistance to Drought in Ecologically Diverse Quercus Species

Mariotti

Sofía

Raddi

et al. 2023

Plants

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Nursery cultivation practices can be modified to increase resistance to water stress in forest seedlings following field establishment, which may be increasingly important under climate change. We evaluated the morphological (survival, growth) and physiological (chlorophyll fluorescence, leaf water potential) responses to water stress for three ecologically diverse Quercus species (Q. robur, Q. pubescens, and Q. ilex) with varying traits resulting from the combination of growing media (peat, coir) and fertilization (standard, P-enriched, K-enriched). For all species under water stress, seedlings grown in coir had generally higher growth than those grown in peat. Seedlings fertilized with P performed better, particularly for survival; conversely, K fertilization resulted in inconsistent findings. Such results could be explained by a combination of factors. P fertilization resulted in higher P accumulation in seedlings, while no K accumulation was observed in K fertilized seedlings. As expected, the more drought-sensitive species, Q. robur, showed the worst response, while Q. pubescens had a drought resistance equal or better to Q. ilex despite being classified as intermediate in drought resistance in Mediterranean environments.

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Section: Discussionmentioning

confidence: 99%

Cultivation Using Coir Substrate and P or K Enriched Fertilizer Provides Higher Resistance to Drought in Ecologically Diverse Quercus Species

Mariotti

Sofía

Raddi

et al. 2023

Plants

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“…The high reflectance at this wavelength may have indicated a relevant change in morphology and canopy structure. As demonstrated by Raddi et al (2021), the reflectance around 850 nm increases with season and severe stress factors. Regarding reflectance at 1,610 nm, many studies reported the strong correlation of leaf water content with reflectance at wavelengths ranging from 1,400 to 1900 nm (Champagne et al, 2003;Das et al, 2018).…”

Section: Date-wavelength Columnsmentioning

confidence: 95%

“…The selected datewavelength pairs were as follows: 10th June-842 nm (round 3) and 10th July-1,610 nm (round 5). Reflectance at 842 nm is mainly related to leaf internal structure (Raddi et al, 2021). The high reflectance at this wavelength may have indicated a relevant change in morphology and canopy structure.…”

Section: Date-wavelength Columnsmentioning

confidence: 99%

Potential of N-CovSel for Variable Selection: A Case Study on Time-Series of Multispectral Images

et al. 2022

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Multispectral image time-series have been promising for some years; yet, the substantial advance of the technology involved, with unprecedented combinations of spatial, temporal, and spectral capabilities for remote sensing applications, raises new challenges, in particular, the need for methodologies that can process the different dimensions of satellite information. Considering that the multi-collinearity problem is present in remote sensing time-series, regression models are widespread tools to model multi-way data. This paper presents the results of the analysis of a high order data of Sentinel-2-time series, conducted in the framework of extreme weather event. A feature extraction method for multi-way data, N-CovSel was used to identify the most relevant features explaining the loss of yield in Mediterranean vineyards during the 2019 heatwave. Different regression models (uni-way and multi-way) from features extracted from the N-CovSel algorithm were calibrated based on available heat wave impact data for 107 vineyard blocks in the Languedoc-Roussillon region and multispectral time-series predictor data for the period May to August. The performance of the models was evaluated by the r2 and the root mean square of error (RMSE) as follows: for the temporal N-PLS model (r2 = 0.62—RMSE = 11%), for the spatial N-PLS model (r2 = 0.61—RMSE = 12%) and the temporal-spectral PLS model (r2 = 0.63—RMSE = 11%). The results validated the effectiveness of the proposed N-CovSel algorithm in order to reduce the number of total variables and restricting it to the most significant ones. The N-CovSel algorithm seems to be a suitable choice to interpret complex multispectral imagery by temporally discriminating the most appropriate spectral information.

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“…The low cost, noncontact, and rapid acquisition of the leaf's external features are the major advantages of machine vision, however, the lack of information about the internal composition and structure of the leaf limits its identification accuracy (Taghizadeh et al, 2011;Pandey et al, 2017). In recent years, spectroscopic techniques, such as near-infrared spectroscopy and reflectance spectroscopy, have been widely used in plant DS assessment because of their simplicity, speediness, and zero reagent consumption, these techniques provide information on the stretching vibrations of hydrogen-containing functional groups, such as C-H, N-H, S-H, and O-H (Steidle Neto et al, 2017;Li P, et al, 2020;Das et al, 2021;Raddi et al, 2022). Nevertheless, the techniques cannot precisely locate the leaf on the designated plant.…”

Section: Introductionmentioning

confidence: 99%

Drought stress identification of tomato plant using multi-features of hyperspectral imaging and subsample fusion

Weng

Ma²,

Tao³

et al. 2023

Front. Plant Sci.

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Drought stress (DS) is one of the most frequently occurring stresses in tomato plants. Detecting tomato plant DS is vital for optimizing irrigation and improving fruit quality. In this study, a DS identification method using the multi-features of hyperspectral imaging (HSI) and subsample fusion was proposed. First, the HSI images were measured under imaging condition with supplemental blue lights, and the reflectance spectra were extracted from the HSI images of young and mature leaves at different DS levels (well-watered, reduced-watered, and deficient-watered treatment). The effective wavelengths (EWs) were screened by the genetic algorithm. Second, the reference image was determined by ReliefF, and the first four reflectance images of EWs that are weakly correlated with the reference image and mutually irrelevant were obtained using Pearson’s correlation analysis. The reflectance image set (RIS) was determined by evaluating the superposition effect of reflectance images on identification. The spectra of EWs and the image features extracted from the RIS by LeNet-5 were adopted to construct DS identification models based on support vector machine (SVM), random forest, and dense convolutional network. Third, the subsample fusion integrating the spectra and image features of young and mature leaves was used to improve the identification further. The results showed that supplemental blue lights can effectively remove the high-frequency noise and obtain high-quality HSI images. The positive effect of the combination of spectra of EWs and image features for DS identification proved that RIS contains feature information pointing to DS. Global optimal classification performance was achieved by SVM and subsample fusion, with a classification accuracy of 95.90% and 95.78% for calibration and prediction sets, respectively. Overall, the proposed method can provide an accurate and reliable analysis for tomato plant DS and is hoped to be applied to other crop stresses

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Monitoring drought response and chlorophyll content in Quercus by consumer-grade, near-infrared (NIR) camera: a comparison with reflectance spectroscopy

Cited by 14 publications

References 98 publications

Cultivation Using Coir Substrate and P or K Enriched Fertilizer Provides Higher Resistance to Drought in Ecologically Diverse Quercus Species

Cultivation Using Coir Substrate and P or K Enriched Fertilizer Provides Higher Resistance to Drought in Ecologically Diverse Quercus Species

Potential of N-CovSel for Variable Selection: A Case Study on Time-Series of Multispectral Images

Drought stress identification of tomato plant using multi-features of hyperspectral imaging and subsample fusion

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