Manufacturing and Performance Evaluation of a Sugarcane Node Cutting Machine

Elwakeel, Abdallah; Eldin, A. M. Zein; Tantawy, Anwar; Mohamed, Shimaa; Mohamed, H. A. A.

doi:10.21608/jssae.2021.208205

Cited by 3 publications

(6 citation statements)

References 4 publications

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“…Mahmoud et al 24 developed a SBCM and reported that the maximum skipping rate, and MP was 11% and 36 bud/min. Researchers 17 manufactured and evaluated the performance of a SBCM and reported that the MP was 66.7 bud/min. Wang et al 34 designed and evaluated a SBCM based on machine vision in pre-seed mode and reported that the average cutting time of a single seed is about 0.7 s (85 bud/min).…”

Section: Resultsmentioning

confidence: 99%

“…The productivity of the SSBC was calculated according to 8 , 17 . As the SSBC was operated by an experienced worker, both number of buds cut and consumed time per whole SS were recorded, and then the SSBC productivity (bud/min) was calculated using Eq.…”

Section: Methodsmentioning

confidence: 99%

“…The cutting mechanism was set to do 20 strokes per minute at a motor speed of 1330 rpm. The machine produced 30 buds every minute Elwakeel et al 17 . Manufactured and assessed the effectiveness a machine for cutting sugarcane nodes.…”

Section: Introductionmentioning

confidence: 99%

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Design, construction and field testing of a manually feeding semiautomatic sugarcane dud chipper

Elwakeel,

Mohamed,

Tantawy

et al. 2024

Sci Rep

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Sugarcane is the main sugar crop, and sugar is an important agricultural product in Egypt. There are many problems with the technology used in the current planting method of sugarcane, which has a great impact on the planting quality of sugarcane, which have a series of problems, such as low cutting efficiency and poor quality. Therefore, the aim of the current study was to design, construct, and field testing of a semiautomatic sugarcane bud chipper assisted with pivot knives for cutting sugarcane buds and germinating them in plastic trays inside a greenhouse until they reached an average length of 35 cm, and then planting them in the field. In the field tests five cutting speeds (35, 40, 45, 50, and 56 rpm. (Revolution Per minute), three cutting knives (1.5, 2.0, and 2.5 mm) were used for cutting sugarcane stalks with four different diameters (1.32, 1.82, 2.43, and 2.68 cm). The obtained results showed that the values of the damage index and invisible losses were within acceptable limits (ranging between − 1.0 and 0.0) for all the variables under the test. Still, the lowest damage index and invisible losses were recorded with the buds that were cut with a knife of 1.5 mm thickness and cutting speeds less than 50 rpm. The skipping rate increases with the increase in cutting speed and stalk diameter, ranging between 0.0 to 13%. The maximum machine productivity was 110 Buds per minute at a cutting speed of 35 rpm and stalk diameter of 1.32 cm. The paper's findings have important application values for promoting the designing and development of sugarcane bud chipper and sugarcane planting technology in the future.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Design, construction and field testing of a manually feeding semiautomatic sugarcane dud chipper

Elwakeel,

Mohamed,

Tantawy

et al. 2024

Sci Rep

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“…The sugarcane industry provides support for economic development and the increment of farmers' income. Mechanization and refinement of the whole sugarcane planting process is a trend of industrial development, but most sugarcane seed cutting machines in the world do not have an anti-injury function to prevent damage to buds during the automatic sugarcane seed cutting process, which restricts the development of the sugarcane industry [1][2][3][4]. Identifying the stem nodes in sugarcane is a crucial technology for advancing the intelligence and mechanization of the sugarcane industry.…”

Section: Introductionmentioning

confidence: 99%

A new automatic sugarcane seed cutting machine based on internet of things technology and RGB color sensor

Yang,

Nasrat,

Badawy

et al. 2024

PLoS ONE

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Egypt is among the world’s largest producers of sugarcane. This crop is of great economic importance in the country, as it serves as a primary source of sugar, a vital strategic material. The pre-cutting planting mode is the most used technique for cultivating sugarcane in Egypt. However, this method is plagued by several issues that adversely affect the quality of the crop. A proposed solution to these problems is the implementation of a sugarcane-seed-cutting device, which incorporates automatic identification technology for optimal efficiency. The aim is to enhance the cutting quality and efficiency of the pre-cutting planting mode of sugarcane. The developed machine consists of a feeding system, a node scanning and detection system, a node cutting system, a sugarcane seed counting and monitoring system, and a control system. The current research aims to study the pulse widths (PW) of three-color channels (R, G, and B) of the RGB color sensors under laboratory conditions. The output PW of red, green, and blue channel values were recorded at three color types for hand-colored nodes [black, red, and blue], three speeds of the feeding system [7.5 m/min, 5 m/min, and 4.3 m/min], three installing heights of the RGB color sensors [2.0 cm, 3.0 cm, and 4.0 cm], and three widths of the colored line [10.0 mm, 7.0 mm, and 3.0 mm]. The laboratory test results s to identify hand-colored sugarcane nodes showed that the recognition rate ranged from 95% to 100% and the average scanning time ranged from 1.0 s to 1.75 s. The capacity of the developed machine ranged up to 1200 seeds per hour. The highest performance of the developed machine was 100% when using hand-colored sugarcane stalks with a 10 mm blue color line and installing the RGB color sensor at 2.0 cm in height, as well as increasing the speed of the feeding system to 7.5 m/min. The use of IoT and RGB color sensors has made it possible to get analytical indicators like those achieved with other automatic systems for cutting sugar cane seeds without requiring the use of computers or expensive, fast industrial cameras for image processing.

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“…https://doi.org/10.3390/agriculture13122218 https://www.mdpi.com/journal/agriculture decrease the gap between consumption and crop production. In Egypt, sugarcane is grown on over 126,000 ha of agricultural land having an average production of 114.3 ton/ha, and total annual production may reach 16 million tons [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Design and Validation of a Variable-Rate Control Metering Mechanism and Smart Monitoring System for a High-Precision Sugarcane Transplanter

Elwakeel,

Mazrou,

Eissa

et al. 2023

Agriculture

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The current study aimed to design and test the accuracy of a variable-rate control metering mechanism (VRCMM) and a remote smart monitoring system (RSMS) for a precision sugarcane transplanter based on IoT technology. The VRCMM is used to operate the seedling metering device at different speeds using a stepper motor based on the travel speed, and the RSMS was employed to evaluate of the three basic parameters of seedling amount, optimum rate, and missed rate. Two types of sensors were used for detecting the sugarcane seedling (SS) and travel speed, including one ultrasonic sensor and one infrared RPM sensor. The study was performed at five travel speeds and four transplant spacings. The findings of laboratory tests showed that the mean record of the relative error between the desired stepper motor speed of the VRCMM and the real value was 3.39%, and it increased with increasing the travel speed. as Additionally, the speed regulation performance was in agreement with the transplanting index. The change in RSMS accuracy is obvious when the travel speed is high and the transplant spacing is small. The RSMS accuracy drops sharply, revealing a leaping change. In conclusion, the smart and intelligent designed sugarcane transplanter would be very useful in sugarcane production.

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Manufacturing and Performance Evaluation of a Sugarcane Node Cutting Machine

Cited by 3 publications

References 4 publications

Design, construction and field testing of a manually feeding semiautomatic sugarcane dud chipper

Design, construction and field testing of a manually feeding semiautomatic sugarcane dud chipper

A new automatic sugarcane seed cutting machine based on internet of things technology and RGB color sensor

Design and Validation of a Variable-Rate Control Metering Mechanism and Smart Monitoring System for a High-Precision Sugarcane Transplanter

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