Review of Some Parameters Related to the Base-Cutter of Sugarcane Harvesters

El-den, Abdallah M. Zein; Ahmed, Saad; Hanafy, W. M.; Elwakeel, Abdallah

doi:10.21608/mjae.2020.47247.1012

Cited by 6 publications

(8 citation statements)

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“…Sugarcane C9 that was cultivated in Egypt had a mean diameter of 2.4 cm, a hardness of 775 N, a weight of 825 g, and a cutting force of 863 N 3 , 13 . A rotary cutting device with blades is the most suitable system for cutting thicker stalks (such as sugarcane), which have greater cutting resistance 14 .…”

Section: Introductionmentioning

confidence: 99%

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: Introductionmentioning

confidence: 99%

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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“…There are still many problems that limit the use of machine vision, machine learning, deep learning, wavelet analysis, image processing algorithms and Herpes simplex virus (HSV) color space in cutting sugarcane seeds, as stated by [ 5 , 21 , 23 , 30 , 31 ]. These problems include slow speed, poor real-time performance, low identification efficiency, and high maintenance and operation costs.…”

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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“…Several attempts have been made to enhance implement and increase the efficiency of crop harvesting equipment and its cutting tools (Bochat et al., 2021; Cui et al., 2021; Dixit et al., 2012; D. Du & Wang, 2016; El Didamony & El Shal, 2020; Glaus et al., 1972; Hosseinpour‐Zarnaq et al., 2022; Huang et al., 2020; Lesani et al., 2018; Lima et al., 2021; Navas et al., 2020; Patel et al., 2018; Pellenc & Pellenc, 2014; Popa & Popa, 2020; Schmid, 1965; Shearer et al., 1991; Song et al., 2022; Taghinezhadet al., 2012; Tang et al., 2021; Vu, Ngo, et al., 2020b; W. Wang et al., 2022; Xie, Jin, et al., 2022; Xie, Wang, et al., 2022). One of the key factors in crop harvesting is cutting force (Ma et al., 2014; Preethi et al., 2021; Zein El‐den et al., 2020). Measurement of cutting energy and of optimum energy for crop cutting has great scope to improve the crop cutting and harvesting technology.…”

Section: Introductionmentioning

confidence: 99%

“…Wang et al, 2022;Xie, Jin, et al, 2022;Xie, Wang, et al, 2022). One of the key factors in crop harvesting is cutting force (Ma et al, 2014;Preethi et al, 2021;Zein El-den et al, 2020). Measurement of cutting energy and of optimum energy for crop cutting has great scope to improve the crop cutting and harvesting technology.…”

Section: Introductionmentioning

confidence: 99%

On‐farm cropping sensor‐based smart device for cutting energy measurement of cereal crops

et al. 2023

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A device was developed for on‐field cutting energy measurement of cereal crops. Physical, engineering, and anatomical properties of prominent rice (Oryza sativa L.) cultivars of India were studied at different stem positions using a factorial CRD design. The effects of changes in different operational parameters, including blade bevel angle (15°, 20°, and 25°), cutting angle (25°, 30°, and 35°) and cutting velocity (2.9, 3.44, and 4.1 m s−1) on cutting force and cutting energy of rice stalk were also studied. Cutting angle indicated the angle of inclination of cutting edge to the horizontal at blade‐crop interface. The assessment of these properties and parameters in relation to crop cutting energy, led to the development of a smart device for energy measurement up to a size of three skills. This device consisted of a compression system, crop holding unit, cutting unit, and sensors to measure the force, speed, and cutting height. The device's measurement abilities were evaluated with wheat (Triticum aestivum L.) stalks at different cutting speeds (0.83, 1.16, and 1.5 m s−1 and stem heights (10, 20, and 30 cm from ground). Values for cutting force and energy ranged from 1.85 to 1.45 N and 10.81 to 8.48 N mm–1, respectively. At all stem heights, the cutting force and cutting energy ranged from 1.79 to 1.44 N and 11.92 to 6.74 N mm–1, respectively. The ultrasonic sensor provided real time cutting height data with an accuracy of 97.5%, while the gyroscope sensor had an accuracy of 94.29% for on‐field cutting angle measurement.

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Review of Some Parameters Related to the Base-Cutter of Sugarcane Harvesters

Cited by 6 publications

References 1 publication

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

On‐farm cropping sensor‐based smart device for cutting energy measurement of cereal crops

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