1988
DOI: 10.1016/0895-7177(88)90548-1
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Stochastic modeling of granular flow in seed sorting

Abstract: The complexity of gravity separator mechanics precludes the use of a deterministic model for particle movement on a gravity separator. Particle movement is examined as a stochastic process; a distance-transition Markov probability model for particle movement is proposed. A linear programming method for estimation of the Markov model parameters is explained.

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Cited by 4 publications
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“…Most modern separation devices use a layer-by-layer seed recognition algorithm, which allows for "the reduction of the total execution time" [22] but can lead to "extremely unstable results" [23]. Therefore, for the processing of small volumes of forest seeds it is necessary to orient seeds on one [20] and to provide accurate and fast coordinated actions of optoelectronic [24,25] and mechanical systems [26] with use of a stochastic algorithm [27,28]. At the same time, for precision seed feeding, it is possible to use rollers rotating in opposite directions [29], a pneumatic single dispenser [30], or a robotic arm [22].…”
Section: Introductionmentioning
confidence: 99%
“…Most modern separation devices use a layer-by-layer seed recognition algorithm, which allows for "the reduction of the total execution time" [22] but can lead to "extremely unstable results" [23]. Therefore, for the processing of small volumes of forest seeds it is necessary to orient seeds on one [20] and to provide accurate and fast coordinated actions of optoelectronic [24,25] and mechanical systems [26] with use of a stochastic algorithm [27,28]. At the same time, for precision seed feeding, it is possible to use rollers rotating in opposite directions [29], a pneumatic single dispenser [30], or a robotic arm [22].…”
Section: Introductionmentioning
confidence: 99%