Determining the shape of agricultural materials using spherical harmonics

Radvilaitź, Urtź; Ramírez-Gómez, Álvaro; Kačianauskas, Rimantas

doi:10.1016/j.compag.2016.09.003

Cited by 23 publications

(7 citation statements)

References 69 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The overall system behaviour is determined as a result of individual material interactions [9; 10]. It has been successfully applied to the process simulation in agriculture [11][12][13][14] as well as DEM has been used in several analyses to study particle dispersion mechanisms in many agricultural machines as in seed feeding device [15][16][17][18]. Although there have been many studies of seed-metering devices, most previous studies have not addressed the seed motion in an oscillating seed metering device.…”

Section: Resultsmentioning

confidence: 99%

Simulation of Sesame Seeds Outflow in Oscillating Seed Metering Device Using DEM

Sharaby

Doroshenko

Butovchenko

2020

Engineering Technologies and Systems

View full text Add to dashboard Cite

Introduction. Sesame crop is one of the most important export crops in many countries around the world, especially in Africa. To meet the agricultural requirement of precision planting, various types of precision seed planters have been developed. Numerous studies were carried out to study the optimisation of the parameters of the precision planting. One of these parameters, affecting the quality of the precision seeder, is the grain outflow from the seed metering device. Materials and Methods. In order to maintain good continuous performance of an oscillating seeder, it is important to monitor seed flow in real-time and adjust oscillation parameters automatically. Existing research methods, such as prototyping and monitoring the process using a high-speed camera, by reason of the random movement of particles, do not allow obtaining sufficient data to understand trajectories and velocities of particles and existing equations for particle motion when simulating the sowing process do not allow taking into account the interaction of particles that having various shapes, rolling and sliding friction coefficients, and the elastic modulus of particle materials and a working body. In this study, the outflow rate of sesame seeds in an oscillating seed metering device was modeled using the simulation method based on the discrete element method. The aim of this study is to create a simulation model of an oscillating-type sowing planter using the sowing sesame seeds as an example for evaluating the effectiveness of this model, and the possibility of further optimization and prediction of sowing seeds with this device. Results. The analysis of the results showed that during the simulation, the sowing rate of sesame seeds when leaving the oscillating seed metering holes has significant differences in number and direction. The results of the modeling process in this study showed that when opening a hole in the oscillating seeder, a number of sesame seeds from 0 to 4 were coming out of it. The resulting model allows monitoring the behavior of each particle of a sesame seed, analyzing its trajectory, speed, and forces acting on it at any one time, and varying the parameters to obtain the dependence of uneven seeding on the kinematic and geometric parameters of the device. Discussion and Conclusion. The obtained simulation results provide an effective method for predicting the consumption of sesame seeds from the oscillating seed meter, which serves as the basis for optimizing the kinematic and geometric parameters of the oscillating sowing device in order to increase its efficiency. This model is universal and can be adapted to sow other crops.

show abstract

Section: Resultsmentioning

confidence: 99%

Simulation of Sesame Seeds Outflow in Oscillating Seed Metering Device Using DEM

Sharaby

Doroshenko

Butovchenko

2020

Engineering Technologies and Systems

View full text Add to dashboard Cite

show abstract

“…An outline shape is quantitatively described using a set of the expansion coefficients

, similar to EFA. Spherical harmonic analysis has been used to describe the 3D outline shapes of citrus fruits ( Ding et al 2000 ), agricultural grains (beans, chickpeas, and maize) ( Radvilaitė et al 2016 ).…”

Section: Geometric Morphometrics For Shape Quantification Of Single U...mentioning

confidence: 99%

Model-based plant phenomics on morphological traits using morphometric descriptors

2022

View full text Add to dashboard Cite

The morphological traits of plants contribute to many important functional features such as radiation interception, lodging tolerance, gas exchange efficiency, spatial competition between individuals and/or species, and disease resistance. Although the importance of plant phenotyping techniques is increasing with advances in molecular breeding strategies, there are barriers to its advancement, including the gap between measured data and phenotypic values, low quantitativity, and low throughput caused by the lack of models for representing morphological traits. In this review, we introduce morphological descriptors that can be used for phenotyping plant morphological traits. Geometric morphometric approaches pave the way to a general-purpose method applicable to single units. Hierarchical structures composed of an indefinite number of multiple elements, which is often observed in plants, can be quantified in terms of their multi-scale topological characteristics using topological data analysis. Theoretical morphological models capture specific anatomical structures, if recognized. These morphological descriptors provide us with the advantages of model-based plant phenotyping, including robust quantification of limited datasets. Moreover, we discuss the future possibilities that a system of model-based measurement and model refinement would solve the lack of morphological models and the difficulties in scaling out the phenotyping processes.

show abstract

“…Recently, many investigators employed the multi-sphere (MS) approach to describe complex material geometries, in which a certain number of spheres were glued together. Most authors use multi-spherical particles to build agricultural grains particle models for different types of seeds for modelling elongated particles of irregular shape based on the multi-sphere method and building analysis models of agricultural grains (Markauskas et al, 2015;Radvilaitė et al, 2016;Wang et al, 2017). Therefore, different sphere numbers are used to represent the shape of the grains.…”

Section: Introductionmentioning

confidence: 99%

Modelling and verification of sesame seed particles using the discrete element method

2022

View full text Add to dashboard Cite

The size of sesame seed particles has been measured and analysed to build a sesame seed particle model using the discrete element method (DEM). Despite the strength of simulations using the DEM method, one of the challenges that still require to be overcome is approximating the form of the actual particles, especially for irregular shapes, to obtain more realistic simulations. Thus, the sesame seed particle was simplified to be quite close to the actual seed forms by drawing an irregular 3D sesame particle model using Fusion 360 software with the average dimensions of five hundred randomly selected sesame seeds. Consequently, a modelling approach for sesame seed particles based on a multi-sphere (MS) method was suggested. In this paper, the simulated results of the sesame particle model were close to those obtained experimentally, with 28 filling spheres. The results for both piling tests and oscillating seed meter calibration have shown that the 28- sphere model is appropriate for modelling the sesame seed particle. Thus, the validity and feasibility of the modelling approach for sesame seed particles we proposed have been verified. Finally, the simulation analysis provided a good prediction for the outflow process of sesame seeds from the oscillating seed meter. The optimum values for the main parameters of the oscillating seed metering device for sowing sesame seeds are 9 mm for seed exit hole clearance, 20° for oscillation angle, and 0.022 sec for opening time, providing a sesame seed rate of 2.7 kg/ha. As a result, it provides a reference for the design and optimisation of oscillating seed meter for sowing sesame seeds.

show abstract

Determining the shape of agricultural materials using spherical harmonics

Cited by 23 publications

References 69 publications

Simulation of Sesame Seeds Outflow in Oscillating Seed Metering Device Using DEM

Simulation of Sesame Seeds Outflow in Oscillating Seed Metering Device Using DEM

Model-based plant phenomics on morphological traits using morphometric descriptors

Modelling and verification of sesame seed particles using the discrete element method

Contact Info

Product

Resources

About