How to Increase the Analog-to-Digital Converter Speed in Optoelectronic Systems of the Seed Quality Rapid Analyzer

Соколов, С. В.; Kamenskij, V. V.; Novikov, Arthur; Ivetić, Vladan

doi:10.3390/inventions4040061

Cited by 17 publications

(5 citation statements)

References 16 publications

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“…Вероятно, что в зависимости от уровня влаги, содержащейся в семенах, детектирующий ИК-луч будет проходить разный путь по длине и по траектории, прежде чем достигнет чувствительного элемента, преобразующего через АЦП [56] сигнал в цифровой вид для последующей обработки в микропроцессоре.…”

Section: как способность семени впитывать и отдавать влагу может влия...unclassified

Studying the spectrometric features of forest seeds to improve sowing qualities: a retrospective cluster analysis of the scientific landscape trends

Novikova,

Novikov,

Petrishchev

2024

Forestry Engineering Journal

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Forest seeds spectral data in the visible and infrared regions of electromagnetic radiation lengths quite effectively differentiate the origin, viability, types of seeds, their infestation with pests and diseases, the ability to absorb and lose water. The search for a method of seed testing that is both experimentally simple, fast and effective for predicting germination is necessary to increase the energy efficiency of forest nurseries in the production of planting material. The retrospective references systematization (N = 55, 1998-2023, terms [Scholar Query = seeds* AND (spectr* OR optic*) (properties OR features) AND analysis]) into clusters was carried out on the basis of eight performance criteria represented by rank variables. The level of similarity and difference between clusters is determined by the method of the most distant neighbors with the grouping of data by the square of the Euclidean distance. The most distant criterion from other criteria is the level of invasiveness of testing (the square of the Euclidean distance is 25, p < 0.05). Correlation analysis of nonparametric criteria indicates a direct strong interaction between the level of financial and organizational costs (Spearman coefficient ρ = 0.77; p = 0.0008), time costs and low machine learning capability (ρ = 0.725; p = 0.0008). In the future, it is planned to periodically supplement the set of systematic data to obtain an objective assessment of seed testing methods, as well as using a seed passport to evaluate the relationship of RGB spectral data of more than 1 000 individual seeds with early growth of seedlings in a post-pyrogenic experimental site of the forest landscape of the Voronezh region by example (Pinus sylvestris L. var. Negorelskaya).

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Section: как способность семени впитывать и отдавать влагу может влия...unclassified

Studying the spectrometric features of forest seeds to improve sowing qualities: a retrospective cluster analysis of the scientific landscape trends

Novikova,

Novikov,

Petrishchev

2024

Forestry Engineering Journal

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“…In the group of seeding or planting operations, the additional operation of spot sowing of seeds or planting of seedlings from air is carried out. This is carried out using unmanned aerial vehicles of helicopter, aircraft or hybrid types, equipped with taking into account their take-off mass navigation equipment, based on closely-integrated inertial-satellite system [61][62][63][64], equipment [65] for simultaneous storage of sown seeds or planted seedlings, control of specified seeding rate of seeds, or planting seedlings by quantitative or on a mass basis, and accurate seeding or planting of seedlings depending on the specified scheme of location of forest crops and speed of unmanned aerial vehicle, energy accumulating equipment.…”

Section: Third Applicationmentioning

confidence: 99%

Correlation between the Spectrometric Parameters of Coniferous Seeds and the Molecular Indicators of Seedlings: Is It Possible to Apply It in Practice?

Novikov

Ivetić

Daneshvar

et al. 2020

The 1st International Electronic Conference on Forests—Forests for a Better Future: Sustainability, Innovation, Inter

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Coniferous seeds as an integral part of Forest Reproductive Material (FRM) are a fairly valuable product that is transported by trade operations over long distances. Seed quality determines the rate of reforestation. Improving quality indicators and increasing the competitiveness of forest seeds is one of the promising directions of a few country’s forestry development strategy and an opportunity to integrate into global reforestation initiatives. Based on the direct interaction of biophysical studies of seed spectrometric parameters, implementation of their genotype in different environmental conditions, biometric studies of seedling growth and development and genetic conditioning of these components, it is possible to develop and test a comprehensive concept for obtaining FRM with high quality indicators. What practical application can be expected? First, it is possible to study genetic variability among the seeds of the studied species, using molecular DNA markers. This would help obtain a comprehensive and categorical classification of samples that illustrates the genetic similarity and relationship structure relative to the desired characteristics of seedlings and seeds with high viability rates. Genetic and spectrometric data could be further combined to build a consensus tree of genetic similarity. Second, algorithms could be developed for integrating these parameters in the FRM-Library database to synchronize the quality indicators of forest reproduction material, with information processing devices of optoelectronic graders and phenoseeders. Third, methods and algorithms could be developed for optimal selection of technology for coniferous seeds grading of different breeding values. These would be developed based on data extracted from the FRM-Library database for the production of forest reproductive material, considering various goals and frontier methods of contemporary forest landscape restoration.

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“…Therefore, when designing a hopper, it is advisable to first investigate the angles of the natural slope of the seed pile, as well as the seeds' shape and the inter-shift interaction in the hopper [36]. The diagnostic operation should provide fast digital analysis of Scots pine seeds using optoelectronic devices of the developed configuration [4,35,[37][38][39][40][41]. During the operation, non-destructive testing of the shape, size, and spectrometric characteristics of the seeds is possible, while simultaneously changing the thermophysical properties.…”

Section: Introductionmentioning

confidence: 99%

How Can the Engineering Parameters of the NIR Grader Affect the Efficiency of Seed Grading?

Novikova

Silva²,

Tylek

et al. 2022

Agriculture

Self Cite

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The automated grading of Scots pine seeds in the near-infrared wavelength region (NIR grading) is a starting point for further actions, such as coating and priming. This reduces the time and financial costs and increases the accuracy of seed viability classification compared to invasive techniques. The NIR-based wave reflected from each pine seed must be detected and processed with sufficient accuracy. To focus the reflected beam, we used fiber-optic Bragg grating, a Bragg mirror, and diffraction grating. For each focusing option based on the DOE matrix, one experiment of 20 runs (n = 20) and three replicas (m = 3) in each run was conducted. In each replica, we used 100 conditioned and 100 non-conditioned seeds (NC + NNC = 200) selected randomly from five samples weighing 50 g from a seedlot weighing 1 kg extracted from cones collected from a natural tree stand. Three experiments were conducted on the NIR grading of Scots pine seeds using an optoelectronic device. An adequate DOE regression model of the grading efficiency function was obtained. The functions included the following arguments: angle of incidence of the optical beam, NIR wavelength reflected from the seed, and height of the seed pipeline. The influence of the inclination angle of the light source relative to the plane of pine seed movement on the grading quality prevails over other factors. The NIR grading of Scots pine seeds allows the separation of seeds according to the viability index, which is important, since dead petrified seeds (possibly up to 25%) may occur in the seed batch, which cannot be eliminated by either seed size or mass. The peak of NIR grading is achieved by combining the average grader engineering parameters: 968–973 nm for the wavelength and 44–46 degrees for the inclination angle of the reflected beam at a seed pipe size of 0.18–0.23 m.

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How to Increase the Analog-to-Digital Converter Speed in Optoelectronic Systems of the Seed Quality Rapid Analyzer

Cited by 17 publications

References 16 publications

Studying the spectrometric features of forest seeds to improve sowing qualities: a retrospective cluster analysis of the scientific landscape trends

Studying the spectrometric features of forest seeds to improve sowing qualities: a retrospective cluster analysis of the scientific landscape trends

Correlation between the Spectrometric Parameters of Coniferous Seeds and the Molecular Indicators of Seedlings: Is It Possible to Apply It in Practice?

How Can the Engineering Parameters of the NIR Grader Affect the Efficiency of Seed Grading?

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