Computer vision inspection of rice seed quality with discriminant analysis

2004 ◽  
Author(s):  
Fang Cheng ◽  
Yibin Ying
Keyword(s):  
Computer Vision ◽  
Discriminant Analysis ◽  
Seed Quality ◽  
Rice Seed ◽  
Vision Inspection

scholarly journals Survey of rice seed quality analysis for varietal purity estimation by using image processing techniques

2018 ◽  
Vol 7 (1.7) ◽  
pp. 34
Author(s):  
S. Durai ◽  
C. Mahesh ◽  
T. Sujithra ◽  
A. Suresh
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
South India ◽  
Seed Quality ◽  
Quality Analysis ◽  
Rice Seed ◽  
Two Factors ◽  
Computer Vision Technology ◽  
Processing Techniques ◽  
Varietal Purity

 In south India rice is the major food source and in agriculture, rice production covers more than 70 percentages of entire forming. But in recent the production only from south India not enough to satisfy the need of all, such a huge demand is there. The better production comes from the selection of good seeds. Up to now formers depend on two factors for selecting better seeds, One is the brand which is approved by some quality standards and second one is analyzed manually by experienced people. Both are risky one, we are not pretty much sure the accuracy of analyze. The second one is seeing and feeling. The inspection is not consistent also very time consuming. In the other way we can use computer vision technology to analyze the quality of the seeds. In recent years many of the big industries they are using computer vision technology with Digital Image Processing for many of the applications. In this Paper we are going to discuss the different seed quality analyzing methods and accuracy of result also. Moreover there are different factors and features are there for it, here we are going to study about varietal purity estimation by different methods.

Identification and Classification of Fungal Colonies in Moldy Paddy Based on Computer Vision

2018 ◽  
Vol 61 (5) ◽  
pp. 1497-1504
Author(s):  
Zhenjie Wang ◽  
Ke Sun ◽  
Lihui Du ◽  
Jian Yuan ◽  
Kang Tu ◽  
...  
Keyword(s):  
Computer Vision ◽  
Discriminant Analysis ◽  
Texture Features ◽  
Fungal Species ◽  
Projection Algorithm ◽  
Support Vector ◽  
Linear Discriminant ◽  
Sequential Selection ◽  
The Individual

Abstract. In this study, computer vision was used for the identification and classification of fungi on moldy paddy. To develop a rapid and efficient method for the classification of common fungal species found in stored paddy, computer vision was used to acquire images of individual colonies of growing fungi for three consecutive days. After image processing, the color, shape, and texture features were acquired and used in a subsequent discriminant analysis. Both linear (i.e., linear discriminant analysis and partial least squares discriminant analysis) and nonlinear (i.e., random forest and support vector machine [SVM]) pattern recognition models were employed for the classification of fungal colonies, and the results were compared. The results indicate that when using all of the features for three consecutive days, the performance of the nonlinear tools was superior to that of the linear tools, especially in the case of the SVM models, which achieved an accuracy of 100% on the calibration sets and an accuracy of 93.2% to 97.6% on the prediction sets. After sequential selection of projection algorithm, ten common features were selected for building the classification models. The results showed that the SVM model achieved an overall accuracy of 95.6%, 98.3%, and 99.0% on the prediction sets on days 2, 3, and 4, respectively. This work demonstrated that computer vision with several features is suitable for the identification and classification of fungi on moldy paddy based on the form of the individual colonies at an early growth stage during paddy storage. Keywords: Classification, Computer vision, Fungal colony, Feature selection, SVM.

scholarly journals Cultivar Classification of Single Sweet Corn Seed Using Fourier Transform Near-Infrared Spectroscopy Combined with Discriminant Analysis

2019 ◽  
Vol 9 (8) ◽  
pp. 1530 ◽  
Author(s):  
Guangjun Qiu ◽  
Enli Lü ◽  
Ning Wang ◽  
Huazhong Lu ◽  
Feiren Wang ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Discriminant Analysis ◽  
Near Infrared ◽  
Seed Quality ◽  
Sweet Corn ◽  
Full Range ◽  
Classification Model ◽  
Support Vector ◽  
Corn Seed ◽  
Discriminant Analyses

Seed purity is a key indicator of crop seed quality. The conventional methods for cultivar identification are time-consuming, expensive, and destructive. Fourier transform near-infrared (FT-NIR) spectroscopy combined with discriminant analyses, was studied as a rapid and nondestructive technique to classify the cultivars of sweet corn seeds. Spectra with a range of 1000–2500 nm collected from 760 seeds of two cultivars were used for the discriminant analyses. Thereafter, 126 feature wavelengths were identified from 1557 wavelengths using a genetic algorithm (GA) to build simplified classification models. Four classification algorithms, namely K-nearest neighbor (KNN), soft independent method of class analogy (SIMCA), partial least-squares discriminant analysis (PLS-DA), and support vector machine discriminant analysis (SVM-DA) were tested on full-range wavelengths and feature wavelengths, respectively. With the full-range wavelengths, all four algorithms achieved a high classification accuracy range from 97.56% to 99.59%, and the SVM-DA worked better than other models. From the feature wavelengths, no significant decline in accuracies was observed in most of the models and a high accuracy of 99.19% was still obtained by the PLS-DA model. This study demonstrated that using the FT-NIR technique with discriminant analyses could be a feasible way to classify sweet corn seed cultivars and the proper classification model could be embedded in seed sorting machinery to select high-purity seeds.

scholarly journals Treatment of rice seeds with salicylic acid: seed physiological quality and yield

2014 ◽  
Vol 36 (3) ◽  
pp. 352-356 ◽  
Author(s):  
Lizandro Ciciliano Tavares ◽  
Cassyo Araújo Rufino ◽  
Sandro de Oliveira ◽  
André Pich Brunes ◽  
Francisco Amaral Villela
Keyword(s):  
Salicylic Acid ◽  
Seed Yield ◽  
Seed Treatment ◽  
Seed Quality ◽  
Rice Seed ◽  
Promising Alternative ◽  
Seed Industry ◽  
Physiological Quality ◽  
Rice Seeds

Seed treatment with growth regulators, especially salicylic acid, is a promising alternative to the seed industry because it is an important inducer of resistance to diseases and pests, as well as acting significantly on quality and seed yield. The objective of this study was to evaluate the performance of rice seed treated with different concentrations of salicylic acid, as well as assess the crop yield and seed quality. The treatments consisted of increasing levels of 0, 50, 100, 150 and 200 mg.L-1 salicylic acid. To this was prepared a stock solution of salicylic acid and the highest concentration by successive dilution in distilled water, the other concentrations were obtained. The physiological quality of seeds produced was treated and evaluated by tests of vigor and germination, and after harvest were evaluated seed yield. It follows that treatment of rice seeds with salicylic acid concentrations up to 130 mg.L-1 at a dose of 2 mL.kg-1 seed does not affect the germination and affects the strength, however provides substantial increases in the yield of seeds. The seed treatment with salicylic acid has no influence on seed quality produced.

scholarly journals Treatment of rice seeds with thiamethoxam: reflections on physiological performance

2014 ◽  
Vol 36 (4) ◽  
pp. 458-464 ◽  
Author(s):  
Andreia da Silva Almeida ◽  
Cristiane Deuner ◽  
Carolina Terra Borges ◽  
Géri Eduardo Meneghello ◽  
Adilson Jauer ◽  
...  
Keyword(s):  
Defense Mechanisms ◽  
Seed Quality ◽  
Seedling Emergence ◽  
Accelerated Aging ◽  
Cold Test ◽  
Rice Seed ◽  
Seedling Length ◽  
Rice Seeds ◽  
Growing Conditions ◽  
System Length

Thiamethoxam is a systemic insecticide that is transported within the plant through its cells and can activate various physiological reactions such as protein expression. These proteins interact with defense mechanisms against stress in adverse growing conditions. The objective of this study was to evaluate the effect of thiamethoxam in rice seeds and the potential benefits that it can provide. Two experiments were carried out and, in both, seeds were treated with commercial product containing 350 g of thiamethoxam active ingredient per liter of product, at doses 0, 100, 200, 300 and 400 mL.100 kg-1 of seeds: 1) it was conducted with three lots of IRGA BR 424 cultivar rice seeds, which were submitted to the following laboratory tests: germination, cold test, accelerated aging test, as well as field assessment: total seedling length, root system length, number of panicles and productivity; 2) four lots of IRGA BR 424 cultivar rice seeds, two high and two low-vigor, were subjected to the following tests: germination, cold test and greenhouse seedling emergence test. Thiamethoxam rice seed treatment positively favors the seed quality.

scholarly journals Effect of Hydropriming on Field Establishment of Seedlings obtained from Primed Seeds of Boro Rice cv. Brri Dhan29

2013 ◽  
Vol 1 (4) ◽  
pp. 220-223 ◽  
Author(s):  
A. Dey ◽  
M. A. R. Sarkar ◽  
S. K. Paul ◽  
P. K. Roy
Keyword(s):  
Seed Quality ◽  
Growth Parameters ◽  
Dry Weight ◽  
Rice Seed ◽  
Rice Seedlings ◽  
Germination Time ◽  
Vigor Index ◽  
Mean Germination Time ◽  
Germination Vigor ◽  
Boro Rice

An experiment was conducted at the Seed Laboratory of the Department of Agronomy, Bangladesh Agricultural University, Mymensingh during the period from January to April 2012 to study the effect of hydropriming on field establishment of seedlings obtained from primed seeds of Boro rice cv. BRRI dhan29. Seeds were soaked in water for 0, 24, 30, 36, 42, 48, 54 and 60 hours. The incubation period was 30 hours at 35°C temperature. Seed quality viz. percent germination, mean germination time, vigor index, shoot length, root length, shoot dry weight and root dry weight of rice seedlings were measured. Plant population m-2 also recorded to understand the field establishment of primed seeds. It was observed that priming treatments had significant effect on germination and other growth parameters of rice seedlings. The highest germination, vigor index, population m-2, length of shoot and root and their weight were found at 15 and 30 DAS. The lowest mean germination time was observed from hydropriming of seeds with 30 hours soaking. On the contrary, no priming treatment showed the lowest germination, vigor index, population m-2, and the highest mean germination time. The study concludes that BRRI dhan29 rice seed could be primed for 30 hours as hydropriming improves germination and field establishment of rice seedlings of Boro rice cv. BRRI dhan29.DOI: http://dx.doi.org/10.3126/ijasbt.v1i4.9102  Int J Appl Sci Biotechnol, Vol. 1(4): 220-223

Assessment of seed quality along the rice seed value chain in Tanzania

2019 ◽  
Vol 29 (7) ◽  
pp. 854-866 ◽  
Author(s):  
Setegn Gebeyehu ◽  
Joseph Kangile ◽  
Emmanuel Mwakatobe
Keyword(s):  
Value Chain ◽  
Seed Quality ◽  
Rice Seed
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