Conceptual Design of Harvesters Knife for Chinese Spinach (Ipomoea Reptans Poir.): CAD Approach

Sitorus, Agustami; Fauzi, Albi; Ramadhan, Gilang; Rahman, Habibur; Kuswandi,; Hasan, Andi Rinaldi; Karyadi, Aries

doi:10.1109/icced.2018.00012

Cited by 6 publications

(4 citation statements)

References 7 publications

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“…However, many of these methods allow for introducing all the elements that influence appropriate evaluation. In addition, the conceptual design, as well as non-invasive measurement, is crucial for processing these data, especially in the current engineering scope [14][15][16][17][18][19]. Therefore, involving machine learning in the analysis is a crucial thing to consider.…”

Section: Introductionmentioning

confidence: 99%

Measurement and Prediction of Effect Slenderness Ratios and Aggregate to the Compressive Strength of Concrete by the Core-Drilling Method in Tandem with Machine Learning

Situmorang¹,

Alisjahbana²,

Riyanto³

et al. 2023

MMEP

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The slenderness ratio, length to diameter, of the cylindrical concrete samples of the slab block by the core-drilling method is believed to affect the compressive strength other than the aggregates in the concrete. In this study, the relationship between the compressive strength with mixing and slenderness ratio of cylindrical concrete specimens was investigated by statistics. Further, the discrimination model for mixing cylindrical concrete specimens has been developed by using machine learning algorithms, including support vector machine (SVM), linear discriminant analysis (LDA), k-nearest neighbor (k-NN), and random forest (RF). A total of 180 cylindrical concrete specimens have been measured for compressive strength using UTM. The sample consisted of a mixture of type-A and type-B with a slenderness ratio of 2.48, 2.72, and 3.28, respectively. Samples were obtained by the core-drilling method from slab block concrete. The ANOVA tests showed that the aggregate and slenderness ratio caused a significant difference in the compressive strength of the concrete (p<0.05). This indicates that the type of aggregate mixture in concrete and the slenderness ratio of cylindrical concrete specimens significantly affect the compressive strength of the concrete. The model for discrimination of mixing cylindrical concrete specimens using machine learning algorithms can be used with satisfactory results. LDA is a machine learning algorithm that can show stability in the training and testing stages with accuracy reaching 78% and inconsistency of less than 2.63% (the smallest compared to others). The descending order of machine learning algorithms based on their consistency is LDA > RF > SVM > k-NN. Subsequently, this model can discriminate the aggregate mixture on cylindrical concrete specimens obtained from the core-drilling method.

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Section: Introductionmentioning

confidence: 99%

Measurement and Prediction of Effect Slenderness Ratios and Aggregate to the Compressive Strength of Concrete by the Core-Drilling Method in Tandem with Machine Learning

Situmorang¹,

Alisjahbana²,

Riyanto³

et al. 2023

MMEP

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“…The creation of agricultural equipment and machinery is a basic step in the realization of efficiency and increasing agricultural productivity and quality. Agriculture mechanization aims to improve land and labour efficiency, save energy and resources (seeds, fertilizer and water, and equipment) to increase the effectiveness, productivity, and quality of agricultural products, reduce the workload of farmers, and increase farmer income and welfare (Cebro and Sitorus, 2019;Sitorus et al, 2018;Bulan et al, 2019;Sitorus et al, 2019). Therefore, Harahap et al (2020), have designed a mulch plastic punching machine to make it easier for farmers.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Performance of a Plastic Mulch Punching Machine

Mustaqimah

MUFTI

Bulan

et al. 2022

INMATEH

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This study aims to determine the performance of a plastic mulch hole making machine and its electrical power requirements. The study begins by providing speed variations on the engine sprocket, calculating the working capacity of the machine, and analysing the power requirements of the electric motor. The results showed that the engine sprocket could perform an optimal rotation speed for punching holes in plastic mulch. Most holes were created in the treatment with a rotational speed of 70 rpm, 16 holes per 5 m of plastic mulch. Overall, the performance of the plastic mulch punching machine has been able to provide fixes in making holes in mulch plastic. Of the three treatments, the speed variations of the plastic mulch punching machine provided perforations with the criteria of perfect and partial perforation. The highest percentage of ideal perforation was found in the treatment with a rotational speed of 29 rpm, 86%, and the lowest was found in the treatment with a rotational speed of 25 rpm, 9.3%. The coefficient of determination between the rotational speed of the machine and the performance of the machine to punch holes in the plastic mulch can be modelled by a polynomial equation.

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“…Through a comprehensive literature survey, there exists a significant body of work on trimming machines for various plants, such as grass [7,8], coconut [9], spinach [10,11], and hedge [12]. However, there are very few studies on form trimming of shrubs or bushes.…”

Section: Introductionmentioning

confidence: 99%

Design and Experimental Evaluation of a Form Trimming Machine for Horticultural Plants

Mao

Zong

et al. 2021

Applied Sciences

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Form trimming is an important practice in horticulture. Currently, handheld trimming tools are the most commonly used in China, which presents certain disadvantages including high human labor input, low productivity and inconsistent performance. In this work, a wheeled form trimming machine was designed for shrub plants with the aim of reducing labor input, increasing efficiency and improving trimming performance. The machine was mainly composed of three parts: a supporting frame, a rotary base and a knife system. The design and construction of the key components of the machine were introduced. The knife system was a combination of multiple cutter units with reciprocating motions. The number of units and their connecting angles could be adjusted to realize different trimming shapes. The knife system was carried by the rotary base and could realize 360° rotations to cut the plants into a desired form. Experiments were performed to determine the optimal working parameters (cutting frequency of the cutter unit and rotating speed of the rotary base). The similarity between the plant profile after trimming and the profile of the knife system and the consumed time in each operation were chosen as two evaluation indexes. Results showed that when the cutting frequency was 16.7 Hz and the rotating speed of the rotary base was 13.5 r/min, the trimming operation could be completed by two circles, and the time consumption was 8.89 s. Furthermore, to test the adaptability of the machine, five different shrub plants were chosen and trimmed by the machine, and results showed that the overall similarity was above 93%. Therefore, the form trimming machine developed could meet the requirements of shrub trimming in horticulture with desirable precision and adaptability.

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Conceptual Design of Harvesters Knife for Chinese Spinach (Ipomoea Reptans Poir.): CAD Approach

Cited by 6 publications

References 7 publications

Measurement and Prediction of Effect Slenderness Ratios and Aggregate to the Compressive Strength of Concrete by the Core-Drilling Method in Tandem with Machine Learning

Measurement and Prediction of Effect Slenderness Ratios and Aggregate to the Compressive Strength of Concrete by the Core-Drilling Method in Tandem with Machine Learning

Analysis of the Performance of a Plastic Mulch Punching Machine

Design and Experimental Evaluation of a Form Trimming Machine for Horticultural Plants

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