Application of Machine Learning to Study the Agricultural Mechanization of Wheat Farms in Egypt

Sayed, Hassan A. A.; Ding, Qishuo; Abdelhamid, Mahmoud A.; Alele, Joseph O.; Alkhaled, Alfadhl Yahya; Refai, Mohamed

doi:10.3390/agriculture13010070

Cited by 5 publications

(5 citation statements)

References 30 publications

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“…Divides objects into separate groups (K) keeping objects within each group as close to each other and as far away from objects in other groups [38]. For more details on this technique [10]. The blade weight and fuel consumption data were divided into 3 different clusters using Python 3.11.1 and the origin lab 2023b.…”

Section: 34fuel Consumption Cost and Co 2 Emissionsmentioning

confidence: 99%

“…The surfaces of the used blades for harvesting were examined under a microscope, and the obtained images are shown in Figure (10). The pictures show signi cant corrosion on the surface of the used blades in harvesting.…”

Section: Blades Surface Examinationmentioning

confidence: 99%

“…Using agricultural machinery can achieve agricultural crops' sustainability and high productivity, no doubt that harvesting machines play a vital role in maintaining sustainability purposes in crop cultivation there many types of harvesting machines are involved such as reciprocating, drum(rotary), and disc mowers. [10,11]. Rotary harvester machines are used increasingly for ease of construction, low cost for repair and maintenance, and the ability to cut all stems with large and small diameters [12].…”

Section: Introductionmentioning

confidence: 99%

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Wear behavior and CO2 emissions analysis of drum mower blades during Alfalfa harvest

Refai

Abdelkader

Sayed

et al. 2023

Preprint

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The productivity and efficiency of harvesting forage crops depend on the sharpness and quality of the mower blades. Therefore, studying blades wear during the harvesting process is crucial to sharpening and maintaining blades. The research aims to create mathematical models to predict the wear of mower blades and assess the wear rate of mower blades, fuel consumption, and CO2 emissions during harvesting operations. The wear of blades was measured and characterized by the weight loss method and scanning electron microscopy (SEM) before and after the field experiment. The results showed that the weight of the mower blade decreased from 103.82 to 98.39 g after 37.5 working hours. In addition, the wear of blades increased fuel consumption and operation cost with time. Also, CO2 emissions were 17.672 kg/h at the beginning of the experiment and increased to 29.516 kg/h after 37.5 working hours. From the obtained mathematical equations, the wear of the blade sharp part occurs after 34±3 work hours have passed, so the blades must be resharpened after this period.

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Section: 34fuel Consumption Cost and Co 2 Emissionsmentioning

confidence: 99%

Section: Blades Surface Examinationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Wear behavior and CO2 emissions analysis of drum mower blades during Alfalfa harvest

Refai

Abdelkader

Sayed

et al. 2023

Preprint

Self Cite

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“…Concerning agricultural machinery use, the arable lands of the Egyptian Delta are divided into old lands (clay lands) and newly reclaimed lands (sandy lands). The scenarios used in the performance of the agricultural operations of wheat in the small farms in the study area were studied in 11 scenarios (for more details, see Sayed et al [19]). In this study, through a randomly selected questionnaire, data were obtained from farmers and divided into 4 different scenarios according to the method of performing agricultural operations (whether using mechanization or labor).…”

Section: Wheat Production System In the Delta Of Egyptmentioning

confidence: 99%

Improving Energy Efficiency and Greenhouse Gas Emissions in Small Farm Wheat Production Scenarios Using Data Envelopment Analysis

Sayed,

Ding,

Hendy

et al. 2023

Agronomy

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Assessing the energy cycle and greenhouse gas (GHG) emissions of wheat production in small Egyptian farms is essential to improve wheat productivity to meet population growth and achieve sustainable development. This study aims to compare wheat production in terms of energy use and GHG emissions for different scenarios in the Delta of Egypt and to use Data Envelopment Analysis (DEA) to optimize the wheat production system. Three common scenarios of the wheat production system (S-I, S-II, and S-III) from old lands with one scenario (S-IV) from newly reclaimed land were included in the study. Data were collected from small farmers through a face-to-face questionnaire and interviews in 2022–2023. The results showed that the third scenario (S-III) in the old lands had the lowest input energy consumption (42,555 MJ ha−1) and the highest output energy (160,418 MJ ha−1), with an energy use efficiency of 3.770. In comparison, the input and output energy for the newly reclaimed scenario (S-IV) were 37,575 and 130,581 MJ ha−1, respectively, with an energy use efficiency of 3.475. S-III was an optimum scenario due to its high energy indicators, such as energy productivity of 0.173 kg MJ−1. The total GHG emissions of S-III were the lowest in old lands with a value of 1432.9 kg CO2-eq ha−1, while S-IV had 1290.2 kg CO2-eq ha−1. The highest GHG emissions input was diesel fuel for machinery and irrigation, followed by manure, chemical fertilizers, and agricultural machinery use. Using mechanization in most farming operations for S-III and S-IV led to decreased losses of agricultural inputs with increasing outputs (yield and straw). Therefore, using them in wheat farming practices is recommended to increase the wheat farming system’s energy efficiency and GHG emissions.

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“…Agricultural machinery is crucial to achieve cost savings, quality improvement, and efficiency enhancement in agriculture. This technology has been used to mechanize a variety of crops, including wheat, corn, rice, and peanuts [47][48][49]. Large-scale rubber tree planting has been ongoing for more than a century, and conventional methods of cutting rubber panels still rely on manual labor using manpower to push or pull knives.…”

Section: Feasibility Of the Mechanic Cuttermentioning

confidence: 99%

An Optimization Study on a Novel Mechanical Rubber Tree Tapping Mechanism and Technology

Wang,

Huang,

et al. 2023

Forests

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All-natural rubber is harvested from rubber trees (Hevea brasiliensis Muell. Arg.) by traditional tapping knives, so rubber tapping still heavily relies on labor. Therefore, this study explored a novel, hand-held mechanical rubber tapping machine for rubber tree harvesting. In this study, a mechanical tapping cutter with a vertical blade and adjustable guide was first described. The response surface method was applied to evaluate factors affecting the tapping effect. The experimental values were in close agreement with the predicted value. Machine-tapped latex was comparable in quality to hand-tapped latex. Based on the single-factor results, the response surface method (RSM) and the center combined rotation design (CCRD) optimization method were adopted to explore the influence of three factors influencing vertical blade height (A), cutting force (B), and spiral angle (C) on the tapping effect. Regarding the cutting rate of the old rubber line (Y1), cutting time (Y2), latex flow rate (Y3), and average cutting current (Y4) as evaluation indexes of the tapping effect, an optimization scheme was determined. The quadratic model fits for all the responses. The test results showed that the main factors affecting Y1, Y2, Y3, and Y4 were A and B, B, A and C, and B, respectively. Under optimal conditions, the influencing factors of A, B, and C were 10.24 mm, 51.67 N, and 24.77°, respectively, when the evaluation index values of Y1, Y2, Y3, and Y4 were 98%, 8.65 mL/5 min, 9.00 s, and 1.16 A. The range of the relative error between the experimental and predicted results was from −11.11% to 11.11%. According to the optimized treatment scheme, a comparison test was designed between mechanical and manual rubber tapping tools. To verify the availability and effect of the mechanical tapping method preliminarily, the important rubber tapping evaluation indexes included bark thickness, bark excision, latex flow time, cutting time, ash content, and cutting depth, which were selected to serve as a comparison test. There was no significant difference between hand and mechanical methods, except ash content (p < 0.05) and cutting time (p < 0.01). The mechanical tapping machine proposed in this study is meaningful to improve cutting efficiency, practicality, and operability. Furthermore, it provides crucial theoretical references for the development of intelligent tapping machines.

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Application of Machine Learning to Study the Agricultural Mechanization of Wheat Farms in Egypt

Cited by 5 publications

References 30 publications

Wear behavior and CO2 emissions analysis of drum mower blades during Alfalfa harvest

Wear behavior and CO2 emissions analysis of drum mower blades during Alfalfa harvest

Improving Energy Efficiency and Greenhouse Gas Emissions in Small Farm Wheat Production Scenarios Using Data Envelopment Analysis

An Optimization Study on a Novel Mechanical Rubber Tree Tapping Mechanism and Technology

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