Optimizing the seed-cell filling performance of an inclined plate seed metering device using integrated ANN-PSO approach

Pareek, C.M.; Tewari, V.K.; Machavaram, Rajendra; Nare, Brajesh

doi:10.1016/j.aiia.2020.11.002

Cited by 27 publications

(18 citation statements)

References 24 publications

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“…In carrot farming, optimum crop yield is associated with proper seed germination along with other factors 5 . Optimum germination is noted to begin with planting the appropriate number of seeds into the desired spacing 5 – 7 . Carrots, when planted too close, have a lesser chance to develop optimum-sized roots 8 .…”

Section: Introductionmentioning

confidence: 99%

Investigation of the performance of a cylindrical hopper and metering device of a carrot seeder

Valentin

Białowiec

Karayel

et al. 2023

Sci Rep

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A carrot seeder that utilizes a cylindrical component serving as both hopper/metering device to deposit seeds precisely into planting beds/hills at a uniform interval along a straight row over a plant bed was developed in this study. The seeder was evaluated at different operating speeds (89, 70, 61, 51, 48, 38, and 34 cm s−1) relative to mean number of seeds planted in each hill, hill center, scattering distance ratio, hill spacing and missed hills. The seeder was able to deposit seeds in each hill ranging from 2.8 to 4.0 at all speeds. The mean hill center and missed hills suggested that the seeder is best operated at speed under 70 cm s−1 with the respective values ranging from 0.9 to 1.6 cm and 0–5.5%. This indicates that number of the seeds dropped per hill was very uniform, which is a good indicator of the seeding performance. The hill center and missed hills at 89 cm s−1 were 3.08 cm and 16.67% respectively were significantly higher than at lower speeds. Other operating performances such as the mean number of seeds deposited in each hill and the distance between hills did not appear to vary with the planting speed. The scattering distance ratios of operating speeds from 34 to 61 cm s−1 were less than 30% and therefore acceptable for hill dropping of carrot seeds.

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Section: Introductionmentioning

confidence: 99%

Investigation of the performance of a cylindrical hopper and metering device of a carrot seeder

Valentin

Białowiec

Karayel

et al. 2023

Sci Rep

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“…In the present study, a multilayer feed forward neural network model was developed for modelling of operating parameters of PDA aerator using MATLAB R2013a package. Its high learning ability and information processing potentiality make it suitable for complex nonlinear modelling without prior knowledge about the input-output relationships, which is difficult to handle with the statistical approach (Pareek et al 2020). The ANNs have better generalizability, less susceptibility to noise and outliers than the regression models, and also can handle incomplete data (Luk et al 2001).…”

Section: Ann Based Modellingmentioning

confidence: 99%

Prediction of standard aeration efficiency of a propeller diffused aeration system using response surface methodology and an artificial neural network

et al. 2021

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Aeration experiments were conducted in a masonry tank to study the effects of operating parameters on standard aeration efficiency (SAE) of a propeller diffused aeration (PDA) system. The operating parameters include the rotational speed of shaft (N), submergence depth (h), and propeller angle (α). The response surface methodology (RSM) and artificial neural network (ANN) were used for modelling and optimizing the standard aeration efficiency (SAE) of a PDA system. The results of the both approaches were compared for their modelling abilities in terms of coefficient of determination (R2), root mean square error (RMSE), and mean absolute error (MAE), computed from experimental and predicted data. ANN models were proved to be superior to RSM. The results indicate that for achieving the maximum standard aeration efficiency (SAE), N, h and α should be 1,000 rpm, 0.50 m, and 12°, respectively. The maximum SAE was found to be 1.711 kg O2/ kWh. The cross-validation results show that the best approximation of optimal values of input parameters for maximizing SAE is possible with a maximum deviation (absolute error) of ±15.2% between the model predicted and experimental values.

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“…Navid et al (2011) showed that the correct seed feeding system in row-crop planters is of great importance in the regularity of the farming process in terms of uniform seed distribution. Many researches and field experiments to develop farming machines and evaluate the performance of feeders and raise the efficiency of their work to suit the diversity of seeds and farming systems, from other hand Pareek et al . (2021) indicated that the prime objective of precision planters for better crop growth and yield uniform is seed distribution within the row.…”

Section: Itroductionmentioning

confidence: 99%

Integrated Planting Machine with Metering Mechanism Suitable for Various Seeds

Abd-Elfatah

Elbanna

Shabrawy

2021

Journal of Soil Sciences and Agricultural Engineering

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This study was conducted for the purpose of developing and manufacturing integrated planting machine with a disc metering device attached crank mechanism suitable for many seeds of different shapes and size. A (4.5 Hp) diesel engine as a source of power for machine ground wheel rotation and metering system parts motivation, machine was tested under three ground wheel revolutions GR (30, 45 and 55) rpm, three metering disc to ground wheel revolution ratios MG (0.25, 0.3 and 0.5) and three kinds of seeds variety SV (sun-flower seed, cowpea and black seed) .Experimental measurements were taken for the purpose of characterizing the experimental seed factors as follows: shape index (SI), weight of 1000 seeds (W), seeds moisture content (MC) determination, Actual seeds volume (V) and real density (γ). To evaluate the influence of previous factors there were procedural experiments on machine performance with main three measurements visible, invisible and total seeds damage (SD), actual seed feeding rate (SF) /10m of planting row distance and seeds lateral scattering frequency (L.S %) around the planting row centerline. The results showed that: experimental seeds tend to be oval in shape factor and have a low moisture content less than 18.5%, the highest (SD) at the higher value of ground wheel revolutions GR3=55 rpm. The best feeding rate for black seed (4 to 5 seed in feed-blot) obtained with MG2=0.3 while sun flower seed and cowpea (1 seed in feed-blot) with planting distance 20 cm at MG1=0.25 and GR1= 30 rpm.

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Optimizing the seed-cell filling performance of an inclined plate seed metering device using integrated ANN-PSO approach

Cited by 27 publications

References 24 publications

Investigation of the performance of a cylindrical hopper and metering device of a carrot seeder

Investigation of the performance of a cylindrical hopper and metering device of a carrot seeder

Prediction of standard aeration efficiency of a propeller diffused aeration system using response surface methodology and an artificial neural network

Integrated Planting Machine with Metering Mechanism Suitable for Various Seeds

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