Data-Driven Simulator: Redesign of Chickpea Harvester Reels

Golpira, Hiwa; Sola-Guirado, Rafael R.

doi:10.3390/agriculture12020264

Cited by 5 publications

(3 citation statements)

References 44 publications

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“…The arrangement of teeth should satisfy the requirement of Eq (18), that is, when the drum makes a revolution, in Fig 10, there was at least one impact from the teeth in interval b [24].…”

Section: Plos Onementioning

confidence: 99%

A comb-brushing-type green soybean pod harvesting equipment: Design and experiment

Zhao,

Liu,

Yang

et al. 2023

PLoS ONE

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To solve the problem of low efficiency of manual harvesting of green soybeans and lack of adaptable harvesters, in this study, a brushing-type green soybean harvester was designed. The comb-brushing type green soybean pod harvesting equipment is composed of a front-mounted separation drum, a full-width material delivery mechanism, a negative pressure cleaning system, and a stalk-pod separation system. Based on the operation requirements of the front-mounted brushing-type detachment drum, the drum parameters, parameters of comb arrangement, and structural parameters of the comb, the force analysis in detachment was performed. By taking the pod detachment rate and damage rate as the response indexes, the rotational speed of the drum, the travel speed of the device, and teeth distance as influencing factors, a three-factor five-level orthogonal rotary combination test was carried out by the software Design-Expert. By establishing mathematical regression models for various influencing factors and evaluation indicators, conducting variance analysis and significance analysis on the response indicators of each factor, the optimal parameters were obtained at a rotational speed of teeth of 397.36 rpm/min, minimum axial teeth distance of 4.8 mm and travel speed of the device of 0.5 m/s. Field test results showed that, under the optimal parameter combination, the pod detachment rate was 94%, the damage rate was 3.04%, the harvesting efficiency was greater than 0.187 hm2/h, and impurity content was less than 7.8%, all of which met the design and usage requirements. The research results can provide a reference for the design of soybean harvesters.

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“…The arrangement of teeth should satisfy the requirement of Eq (18), that is, when the drum makes a revolution, in Fig 10, there was at least one impact from the teeth in interval b [24].…”

Section: Plos Onementioning

confidence: 99%

A comb-brushing-type green soybean pod harvesting equipment: Design and experiment

Zhao,

Liu,

Yang

et al. 2023

PLoS ONE

View full text Add to dashboard Cite

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“…The mathematical models can analyze the interactions between different factors that influence food and agricultural systems (Golpira et al., 2021). For example, a Markov process‐based model was employed to simulate grain harvesting efficiency (Golpira & Sola‐Guirado, 2022). The Markov process has also been applied to soil erosion (Liu et al., 2016), farm profitability (Stabel et al., 2018), hydrology (Tan et al., 2019), land‐use changes (Khwarahm et al., 2021), and livestock farm sizing (Saint‐Cyr, 2022).…”

Section: Introductionmentioning

confidence: 99%

Markov model planning on the adoption of an enhanced wheat cultivar

Golpira,

Rashidian,

Demmel

2023

Agronomy Journal

Self Cite

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Predictions on the time needed to adopt new technologies can be used for planning purposes. These predictions should be calculated using a Markov planning model, which is a probabilistic approach to estimating the speed of adoption. In a research project, a data‐driven model was developed to simulate the adoption rate of an enhanced, drought‐resistant rain‐fed hard wheat (Triticum aestivum L.) cultivar in Kurdistan, Iran. The growers’ decision‐making on cultivar replacement was mapped onto the transition matrix, state probability, transition diagram, and tree of the states of the Markov process to compute the limiting probability of the stochastic model, thereby simulating the adoption rate of the wheat cultivar. The mathematical model, which achieves a convergence of 82% adoption for the enhanced wheat cultivar within 5 years, simulates farmers’ behavior and knowledge to enhance food security. Simulating the future of new technology in food and agricultural systems using the proposed methodology can assist policymakers in making informed decisions.

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“…The combine harvester is one of the key links in job production. With the continuous maturity of joint harvest equipment, the direction of automation and intelligence has gradually become an important development direction (Bomoi et al, 2022;Golpira et al, 2022;Kim et al, 2021;Mirmahdi et al, 2021). The automatic control of the header height is an important aspect.…”

Section: Introductionmentioning

confidence: 99%

Design and Test of Automatic Control System for Header Height of Combine Harvester

RUAN

Jiang

ZHOU

et al. 2022

INMATEH

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Aiming at the problems of poor applicability of traditional header height detection mechanism, poor stability and large lag of automatic control system of combine harvesters, an automatic control system of header height of combine harvester was designed, which mainly included the profiling mechanism, controller, proportional valve, manual operation handle and display module. The profiling detection mechanism was composed of angle sensor, profiling plate, torsion spring and other structures. The key structural parameters of the profiling mechanism were determined by using the Adams simulation software and its working performance was verified. The gray prediction PID algorithm of header height was used to reduce the lag of the control model. The control system detected the height of the header from the ground through the profiling mechanism. After being processed by the controller, the height of the header was changed by adjusting the expansion of the header oil cylinder. The field test results showed that the working performance of the header automatic control system was stable. Under the working conditions of preset header height of 100mm and 200mm, the average deviation of the control system was within 21 mm, which met the real-time control demand of header height during normal operation of combine harvester. This research could provide intelligent design methods of combine harvesters.

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Data-Driven Simulator: Redesign of Chickpea Harvester Reels

Cited by 5 publications

References 44 publications

A comb-brushing-type green soybean pod harvesting equipment: Design and experiment

A comb-brushing-type green soybean pod harvesting equipment: Design and experiment

Markov model planning on the adoption of an enhanced wheat cultivar

Design and Test of Automatic Control System for Header Height of Combine Harvester

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