Fabrication and Test of a Tractor-Front-Mounted Two-Row Sugarcane Harvester

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

doi:10.21608/mjae.2020.47259.1013

Cited by 3 publications

(3 citation statements)

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“…Therefore, it is important to leave at least 1.0 cm of internodes both above and under the sugarcane bud when cutting seeds. Using this approach, there are enough resources left for the sugarcane buds to germinate [ 21 , 26 , 32 ]. The established requirements for cutting sugar cane are shown in Fig 1 .…”

Section: Methodsmentioning

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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Section: Methodsmentioning

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

Self Cite

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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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“…Sugarcane represents the main cash crop in Upper Egypt. The cultivated area with sugarcane is estimated to be over 300,000 Fedd with an average production of 48 t/Fedd and total production may reach 16 million tons per year (Elwakeel, 2017;Zein El-den et al, 2020a;Zein El-den et al, 2020b). Sugarcane planting and mechanization are the development trend of the industry (Yadav et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

Manufacturing and Performance Evaluation of a Sugarcane Node Cutting Machine

Elwakeel

Eldin

Tantawy³

et al. 2021

Journal of Soil Sciences and Agricultural Engineering

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Sugarcane node cutting machine was manufactured and tested in the department of Agronomy, Faculty of Agriculture, El-Minia University, El-Minia, Egypt, to facilitate the process of cutting nodes that are used in transplanting sugarcane, the machine parts were designed using "SolidWorks" software, and then manufactured and constructed by using the low-cost available materials in local markets. The machine is used to separate the nodes from the sugarcane stalks and leave the internodes for industrial processes. The machine consists of reciprocating blades powered by a 3-phase AC motor. Field experiments were conducted for four groups of stalk diameters to study the effect of stalk diameters and cutting speeds on the machine performance. Results of the field tests for C9 sugarcane variety showed that the average diameter (cm), stalk weight (g), stalk length (cm), and the number of nodes per stalk of the tested samples ranged from (1.38 to 3.28 cm), (405.11 to 1206.67 g), (181.67 to 197.78 cm), and (12.56 to 14.33), respectively. Also, the results showed that the cutting efficiency was ranged between (83.67-100%), maximum machine productivity was 3944 node/ha and the total operating cost ranged between 55.07 to 115.96 EGP/Fedd according to the cutting speed and stalk dimeters. It could be concluded from this study that the designed node-cutter prototype is profitable, handy and cost-effective to assist small-scale sugarcane farmers under Egyptian conditions.

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Fabrication and Test of a Tractor-Front-Mounted Two-Row Sugarcane Harvester

Cited by 3 publications

References 0 publications

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

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

Manufacturing and Performance Evaluation of a Sugarcane Node Cutting Machine

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