scholarly journals Assessment of the vigor of rice seeds by near-infrared hyperspectral imaging combined with transfer learning

RSC Advances ◽  
2020 ◽  
Vol 10 (72) ◽  
pp. 44149-44158
Author(s):  
Yong Yang ◽  
Jianping Chen ◽  
Yong He ◽  
Feng Liu ◽  
Xuping Feng ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Transfer Learning ◽  
Significant Role ◽  
Near Infrared ◽  
Seed Vigor ◽  
Rice Production ◽  
Rice Seed ◽  
Rice Seeds

Rice seed vigor plays a significant role in determining the quality and quantity of rice production.

scholarly journals Near-Infrared Hyperspectral Imaging (NIR-HSI) for Nondestructive Prediction of Anthocyanins Content in Black Rice Seeds

2021 ◽  
Vol 11 (11) ◽  
pp. 4841
Author(s):  
Hanim Z. Amanah ◽  
Collins Wakholi ◽  
Mukasa Perez ◽  
Mohammad Akbar Faqeerzada ◽  
Salma Sultana Tunny ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Prediction Models ◽  
Partial Least Square ◽  
Mixed Data ◽  
Rice Seed ◽  
Black Rice ◽  
Sorting Machine ◽  
Two Samples ◽  
Rice Seeds

Anthocyanins are an important micro-component that contributes to the quality factors and health benefits of black rice. Anthocyanins concentration and compositions differ among rice seeds depending on the varieties, growth conditions, and maturity level at harvesting. Chemical composition-based seeds inspection on a real-time, non-destructive, and accurate basis is essential to establish industries to optimize the cost and quality of the product. Therefore, this research aimed to evaluate the feasibility of near-infrared hyperspectral imaging (NIR-HSI) to predict the content of anthocyanins in black rice seeds, which will open up the possibility to develop a sorting machine based on rice micro-components. Images of thirty-two samples of black rice seeds, harvested in 2019 and 2020, were captured using the NIR-HSI system with a wavelength of 895–2504 nm. The spectral data extracted from the image were then synchronized with the rice anthocyanins reference value analyzed using high-performance liquid chromatography (HPLC). For comparison, the seed samples were ground into powder, which was also captured using the same NIR-HSI system to obtain the data and was then analyzed using the same method. The model performance of partial least square regression (PLSR) of the seed sample developed based on harvesting time, and mixed data revealed the model consistency with R2 over 0.85 for calibration datasets. The best prediction models for 2019, 2020, and mixed data were obtained by applying standard normal variate (SNV) pre-processing, indicated by the highest coefficient of determination (R2) of 0.85, 0.95, 0.90, and the lowest standard error of prediction (SEP) of 0.11, 0.17, and 0.16 mg/g, respectively. The obtained R2 and SEP values of the seed model were comparable to the result of powder of 0.92–0.95 and 0.09–0.15 mg/g, respectively. Additionally, the obtained beta coefficients from the developed model were used to generate seed chemical images for predicting anthocyanins in rice seed. The root mean square error (RMSE) value for seed prediction evaluation showed an acceptable result of 0.21 mg/g. This result exhibits the potential of NIR-HSI to be applied in a seed sorting machine based on the anthocyanins content.

scholarly journals Rapid and Nondestructive Measurement of Rice Seed Vitality of Different Years Using Near-Infrared Hyperspectral Imaging

Molecules ◽  
2019 ◽  
Vol 24 (12) ◽  
pp. 2227 ◽  
Author(s):  
Xiantao He ◽  
Xuping Feng ◽  
Dawei Sun ◽  
Fei Liu ◽  
Yidan Bao ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Seedling Emergence ◽  
High Yield ◽  
Support Vector ◽  
Rice Seed ◽  
Machine Model ◽  
Online Application ◽  
Rice Seeds ◽  
Viable Seeds

Seed vitality is one of the primary determinants of high yield that directly affects the performance of seedling emergence and plant growth. However, seed vitality may be lost during storage because of unfavorable conditions, such as high moisture content and temperatures. It is therefore vital for seed companies as well as farmers to test and determine seed vitality to avoid losses of any kind before sowing. In this study, near-infrared hyperspectral imaging (NIR-HSI) combined with multiple data preprocessing methods and classification models was applied to identify the vitality of rice seeds. A total of 2400 seeds of three different years: 2015, 2016 and 2017, were evaluated. The experimental results show that the NIR-HSI technique has great potential for identifying vitality and vigor of rice seeds. When detecting the seed vitality of the three different years, the extreme learning machine model with Savitzky–Golay preprocessing could achieve a high classification accuracy of 93.67% by spectral data from only eight wavebands (992, 1012, 1119, 1167, 1305, 1402, 1629 and 1649 nm), which could be developed for a fast and cost-effective seed-sorting system for industrial online application. When identifying non-viable seeds from viable seeds of different years, the least squares support vector machine model coupled with raw data and selected wavelengths of 968, 988, 1204, 1301, 1409, 1463, 1629, 1646 and 1659 nm achieved better classification performance (94.38% accuracy), and could be adopted as an optimal combination to identify non-viable seeds from viable seeds.

scholarly journals Discrimination of CRISPR/Cas9-induced mutants of rice seeds using near-infrared hyperspectral imaging

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Xuping Feng ◽  
Cheng Peng ◽  
Yue Chen ◽  
Xiaodan Liu ◽  
Xujun Feng ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Induced Mutants ◽  
Rice Seeds

Effect of High Temperature Intermittent Drying on Rice Seed Viability and Vigor

2017 ◽  
Vol 13 (10) ◽  
Author(s):  
Pan Wang ◽  
Dong Li ◽  
Li-jun Wang ◽  
Benu Adhikari
Keyword(s):  
High Temperature ◽  
Ambient Temperature ◽  
Seed Viability ◽  
Seed Vigor ◽  
Drying Rate ◽  
Rice Seed ◽  
Rice Cultivars ◽  
Moisture Contents ◽  
Rice Seeds ◽  
Tempering Process

AbstractThis work aimed at determining whether high temperature intermittent drying followed by tempering at ambient temperature could preserve the seed viability and vigor.JaponicaandIndicarice seeds with 21.2 % and 22.6 % wet moisture contents (w.b.) were dried at 50 ºC and 60ºC for either 5, 10, 15 or 20 minutes, followed by tempering at 25ºC for 45 minutes. Each drying cycle was repeated until the rice seeds were dried to 12.0 % (w.b.). The drying rate was improved and the total in-dryer time was reduced in the intermittent drying when compared to continuous drying, due to the tempering process. The seed vigor was significantly reduced by intermittent drying at 60 °C with all exposure times, although the seed still kept the ability to germinate for both rice cultivars. The intermittent drying at 50 ºC for 5 minutes per drying cycle preserved the seed vigor ofJaponicarice well, while inIndicarice, the intermittent drying at 50 ºC up to 20 minutes could still be able to maintain the seed vigor.

scholarly journals ELECTRICAL CONDUCTIVITY AND ETHANOL RELEASE TO ASSESS RED RICE SEED VIGOR1

2021 ◽  
Vol 34 (4) ◽  
pp. 791-798
Author(s):  
RAFAEL MARANI BARBOSA ◽  
MATHEUS ANDRÉ DE JESUS ◽  
RAFAELA ALVES PEREIRA ◽  
GEDEON ALMEIDA GOMES JUNIOR
Keyword(s):  
Electrical Conductivity ◽  
Efficient Method ◽  
Seedling Emergence ◽  
Accelerated Aging ◽  
Seed Vigor ◽  
Rice Seed ◽  
Seed Sample ◽  
Red Rice ◽  
Germination Test ◽  
Rice Seeds

ABSTRACT To evaluate seed vigor, electrical conductivity and ethanol tests are fast and efficient methodologies. They have the potential to be used in several species, such as red rice. However, there are no protocols or information about their efficiency. Thus, the objective was to evaluate the efficiency, and define parameters of execution for electrical conductivity and ethanol tests, to evaluate the vigor of red rice seeds. The study was conducted using four lots of ‘BRS 901’ red rice, which was subjected to a germination test, as well as first count, accelerated aging, and field seedling emergence tests. The electrical conductivity test was performed with 25, 50, and 100 seeds soaked in 50 mL and 75 mL of water, at 25 °C and 30 °C, for 3, 6, 20, and 24 hours, respectively. The ethanol test was performed with 50 and 100 seeds soaked in a volume of water equivalent to 1.0, 1.5, 2.0, 2.5, and 3.0× the mass of the seed sample. To assess the vigor of red rice seeds, the electrical conductivity test is an efficient method when conducted with 50 seeds soaked in 50 mL of water at 25 °C for 20 hours. Meanwhile, the ethanol test is most effective when performed with 50 seeds, in a volume of water that is 2.5× the mass of the sample, at 40 °C for 24 hours.

scholarly journals Selection of Optimal Hyperspectral Wavebands for Detection of Discolored, Diseased Rice Seeds

2019 ◽  
Vol 9 (5) ◽  
pp. 1027 ◽  
Author(s):  
Insuck Baek ◽  
Moon Kim ◽  
Byoung-Kwan Cho ◽  
Changyeun Mo ◽  
Jinyoung Barnaby ◽  
...  
Keyword(s):  
High Throughput Screening ◽  
Near Infrared ◽  
Multispectral Imaging ◽  
Wavelength Region ◽  
Support Vector ◽  
Rice Grain ◽  
Rice Seed ◽  
Forward Selection ◽  
Burkholderia Glumae ◽  
Rice Seeds

The inspection of rice grain that may be infected by seedborne disease is important for ensuring uniform plant stands in production fields as well as preventing proliferation of some seedborne diseases. The goal of this study was to use a hyperspectral imaging (HSI) technique to find optimal wavelengths and develop a model for detecting discolored, diseased rice seed infected by bacterial panicle blight (Burkholderia glumae), a seedborne pathogen. For this purpose, the HSI data spanning the visible/near-infrared wavelength region between 400 and 1000 nm were collected for 500 sound and discolored rice seeds. For selecting optimal wavelengths to use for detecting diseased seed, a sequential forward selection (SFS) method combined with various spectral pretreatments was employed. To evaluate performance based on optimal wavelengths, support vector machine (SVM) and linear and quadratic discriminant analysis (LDA and QDA) models were developed for detection of discolored seeds. As a result, the violet and red regions of the visible spectrum were selected as key wavelengths reflecting the characteristics of the discolored rice seeds. When using only two or only three selected wavelengths, all of the classification methods achieved high classification accuracies over 90% for both the calibration and validation sample sets. The results of the study showed that only two to three wavelengths are needed to differentiate between discolored, diseased and sound rice, instead of using the entire HSI wavelength regions. This demonstrates the feasibility of developing a low cost multispectral imaging technology based on these selected wavelengths for non-destructive and high-throughput screening of diseased rice seed.

scholarly journals Deteksi Cepat Viabilitas Benih Padi Menggunakan Gelombang Near Infrared dan Model Jaringan Saraf Tiruan

2014 ◽  
Vol 33 (2) ◽  
pp. 77
Author(s):  
Jonni Firdaus ◽  
Rokhani Hasbullah ◽  
Usman Ahmad ◽  
M. Rahmad Suhartanto
Keyword(s):  
Fatty Acids ◽  
Free Fatty Acids ◽  
Soluble Protein ◽  
Input Data ◽  
Near Infrared ◽  
Seed Viability ◽  
Accelerated Aging ◽  
Rice Seed ◽  
Ann Models ◽  
Rice Seeds

Viability is an important component of seed quality, which could be detained by germinating the seeds. Currently testing the seed viability of rice takes a long time (5-14 days), so it becomes a limiting factor in the seed production process. An alternative method for rapid seed viability detection is using the Near Infrared (NIR) spectra and using artificial neural network (ANN) as a data processing system. This research was aimed to study the use of NIR spectra and ANN to predict the viability of rice seeds. NIR reflectance (1,000-2,500 nm) of a Ciherang rice seed samples (40 grams), was used as the input data to develop the ANN model. A total of 60 samples were subjected to accelerated aging to obtain various levels of germination. The development of ANN models was done through calibration and validation of NIR spectra to the viability parameters. As ANN input, NIR reflectance of seed sample was given pretreatment data such as normalization, first derivative, second derivative, standard normal variate (SNV) and principal component analysis (PCA). The results showed that longer accelerated aging caused a decrease in seed viability. This was also indicated by the decrease in soluble protein and an increase in free fatty acids. The intensity of the NIR absorbance spectra also showed the same in the absorption region of soluble protein and free fatty acids. The best ANN models to predict the germination was 10PC-5-3 ANN with the SNV NIR reflectance used as the input data. Coefisien correlation of the validation was 0.8947, the value of ratio performance deviation was 2.2359 and the standard error performance was 9.9233%. The use of NIR spectra and ANN was potentially useful to perdict the viability of rice seeds more rapidly.

scholarly journals Keefektifan Asap Cair dan Elektroterapi untuk Mengeliminasi Infeksi Xanthomonas oryzae pv. oryzae pada Benih Padi

2018 ◽  
Vol 14 (2) ◽  
pp. 54
Author(s):  
Rizky G S Purnama ◽  
Kikin Hamzah Mutaqin ◽  
Efi Toding Tondok
Keyword(s):  
Seed Germination ◽  
Bacterial Population ◽  
Seed Quality ◽  
Seed Vigor ◽  
Xanthomonas Oryzae ◽  
Rice Seed ◽  
Liquid Smoke ◽  
Rice Seeds ◽  
Time Required ◽  
Total Seed

The Effectiveness of Liquid Smoke and Electrotherapy to Eliminate Infection of Xanthomonas oryzae pv. oryzae in Rice SeedBacterial leaf blight caused by Xanthomonas oryzae pv. oryzae is a seed-borne disease that can reduce the productivity of rice. Alternative treatments that have not been widely developed is application of liquid smoke and electrotherapy. The aim of this research was to study the effectiveness of liquid smoke and electrotherapy and their combinations to eliminate X. oryzae pv. oryzae without damaging seed quality. The study consisted of three experimental stages: (1) Liquid smoke treatment on the viability of the bacteria and rice seeds; (2) Electrotherapy treatment on the viability of bacteria and rice seeds; (3) Combination of liquid smoke and electrotherapy treatment in bacteria-infected rice seed. The results showed that liquid smoke concentration (5% for 30 minutes) was able to reduce 83.33% population of X. oryzae pv.oryzae on rice seeds with 94.33% seed vigor, 98.00% germination, and time required to achieve 50% of total seed emergence (T50) of 3.13 days. Electrotherapy treatment (400 mA for 20 minutes) was not only eliminated X. oryzae pv. oryzae on rice seeds up to 100% but also maintained seed vigor 81.67%, germination 89.33%, and T50 3.47 days. Electrotherapy treatment (400 mA for 20 minutes) followed by immersion of infected rice seeds in liquid smoke concentration (1% for 30 minutes) could reduce 94.59% bacteria population while maintaining 86.00% seed germination. Treatment of electrotherapy (400 mA for 20 minutes) followed by immersion seeds into liquid smoke concentration (5% for 30 minutes) could reduce bacterial population up to 100%, but caused phytotoxicity effect to the seedling.

scholarly journals Combined Effects of Biological and Chemical Treatment on Rice Seed Physiological and Sanitary Quality

2019 ◽  
Vol 11 (15) ◽  
pp. 106
Author(s):  
Alana Emanoele Pereira ◽  
Weliton Lucas da Silva Benites ◽  
Luana de Carvalho Catelan ◽  
Ana Paula Silva ◽  
Nadia Graciele Krohn
Keyword(s):  
Seed Quality ◽  
Dry Weight ◽  
Seed Vigor ◽  
Rice Seed ◽  
Water Control ◽  
Randomized Design ◽  
Seed Health ◽  
Physiological Quality ◽  
Rice Seeds

This study aimed to evaluate the efficiency of integrated biological and chemical control of pathogens in rice seeds and their effects on seed quality. The experiment was conducted in a 2 × 5 factorial completely randomized design. Fungicide-treated (carboxin/thiram) and untreated rice seeds were inoculated with distilled water (control), Azospirillum brasilense, Bacillus subtilis, Pseudomonas fluorescens, or Trichoderma harzianum. Seed vigor and viability, shoot and root length, and seedling dry weight were determined. The blotter test was carried out to assess seed health. Fungicide treatment improved seed vigor and viability and reduced the incidence of fungi. Biological treatment did not enhance the physiological quality of seeds but was able to control fungi. A. brasilense, B. subtilis, P. fluorescens, and T. harzianum controlled Phoma sorghina; B. subtilis, P. fluorescens, and T. harzianum were effective against Aspergillus flavus; P. fluorescens and T. harzianum controlled Pyricularia oryzae; and T. harzianum was effective against Gerlachia oryzae.

Effect of γ-irradiation on rice seed vigor assessed by near-infrared spectroscopy

2015 ◽  
Vol 62 ◽  
pp. 46-51 ◽  
Author(s):  
Le Song ◽  
Qi Wang ◽  
Chunyang Wang ◽  
Yanqing Lin ◽  
Ding Yu ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Seed Vigor ◽  
Rice Seed ◽  
Γ Irradiation
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