Computer Modeling for Prediction of Implement Field Performance Variables

Zaied, Moayad B.; Naim, Ahmed M. El; Mahmoud, Tarig E.

doi:10.12691/wjar-2-2-1

Cited by 5 publications

(2 citation statements)

References 4 publications

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“…According to Jokiniemi et al (2012), Rivera et al (2012), Shamshiri & Ismail (2013), Zaied et al (2014), and Oduma et al (2015), field efficiency has a direct influence on the operational field capacity of a machine and on mechanized operations themselves. As stated by Araldi et al (2013), Zhou et al (2015), and Santos et al (2018), mechanized operations are performed considering operational times to improve their field efficiency.…”

Section: Introductionmentioning

confidence: 99%

ECONOMIC ANALYSIS OF DIFFERENT HYDRAULIC SPRAYERS USED IN SUGARCANE (Saccharum spp.)

Santos

2019

Eng. Agríc.

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Brazil is the largest sugarcane producer worldwide. In mills, sugarcane crops are sprayed with agrochemicals using self-propelled, tractor-driven, and aerial hydraulic sprayers. As sugarcane spraying is regularly performed over extensive areas, the machinery to be used should be planned and dimensioned to ensure timely operations without overloading and at lower costs. Therefore, the current study aimed to analyze the operational and economic performances of different hydraulic sprayers to perform sugarcane crop control. As long as meeting our goal in field conditions would be difficult, we opted to develop a computational model, named as "TratoCana", using a spreadsheet and programming language. The model was used to assess economic and operational factors by generating scenarios and analyzing probable routine errors. In short, the results evidenced that initial value and operation speed are factors with the strongest impact on the costs of self-propelled sprayers and tractor-sprayer sets. Yet, the aerial application was mostly affected by fuel costs and crop row lengths. Moreover, the larger the spray tank volume, the lower the costs.

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Section: Introductionmentioning

confidence: 99%

ECONOMIC ANALYSIS OF DIFFERENT HYDRAULIC SPRAYERS USED IN SUGARCANE (Saccharum spp.)

Santos

2019

Eng. Agríc.

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“…For Araldi et al (2013); Banchi et al (2008a); Barbosa et al (2015); Cervi et al (2015); Jokiniemi et al (2012); Oduma et al (2015); Linhares et al (2012); Ma et al (2015); Nascimento et al (2016); Neres et al 2012; Rivera et al (2012); Simões et al (2011) and Yousif et al (2013), this is the ratio between effectively used time and total time for equipment operation. The operational time Santos et al (2015a); Shamshiri & Ismail (2013) and Zhou et al (2015) and Çanakci et al (2011); Civelek & Say (2016); Santos et al (2015b); Santos et al (2014a) and Zaied et al (2014) have a participation in the equipment operational performance, which has a direct influence on the economic performance.…”

Section: Introductionmentioning

confidence: 99%

SIMULATION OF DISTANCE BETWEEN FIELD AND REPLENISHMENT PUMP IN MECHANIZED SPRAYING OF SUGARCANE (Saccharum spp.)

Santos

2018

Eng. Agríc.

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Brazil is the world's largest producer of sugarcane destined for mills. Spraying in sugarcane plantations is carried out in extensive cultivation areas and with self-propelled, tractor-driven, and aerial hydraulic equipment. For this, a good positioning of the replenishment pump of agricultural defensives close to the field where the spraying is carried out is necessary. However, it is desirable that the replenishment be carried out at short distances between the field and replenishment pump. This study aimed to assess the impact of the distance between the field and replenishment pump on the operational cost of hydraulic sprayers for sugarcane farming practices. Due to the difficulty in accomplishing the work and meeting the objective under field conditions, we decided to develop a computational model called "TratoCana" in a spreadsheet and programming language. The model was verified for possible routine errors, validated, and used in the analysis of factors and in the generation of scenarios. The results showed that the increased average distance between the field and replenishment pump has a negative impact on the operational and economic performance of the machine.

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Model development and optimisation of the disc plough efficiency on loamy-sand soil in South-East Nigeria

Oduma¹,

Ehiomogue²,

Ntunde³

2023

Res. Agric. Eng.

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This study was conducted to model and optimise the efficiency of a disc plough on loamy-sand soil in South-East Nigeria to aid farmers to examine and choose the right ploughing implement based on the soil type for an effective and bountiful production. The operational speed and cutting depth were taken as factors for the study of the plough efficiency. The results revealed that the highest field efficiency of 80% was noted when the plough worked at the cutting depth of 30 cm and a speed of 5 km•h -1 while the lowest efficiency of 68.10% was achieved at a speed of 9 km•h -1 and a depth of 10 cm. The quadratic model was significant for the response (P < 0.05). The results indicated that the coefficient of determination (R 2 ) was 0.98, which specified the high correlation among the factors. The predicted R² (0.76) was consistent with the adjusted R² of 0.96. The adequacy precision of 24.89 showed a suitable indicator and that the model could navigate the design space. The optimum field efficiency and the desirability of 77.50% and 1.00 were, respectively, obtained at an optimum speed of 7 km•h -1 and a cutting depth of 30 cm. Farmers can, however, assess and select the implements with the aid of the developed model.

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Computer Modeling for Prediction of Implement Field Performance Variables

Cited by 5 publications

References 4 publications

ECONOMIC ANALYSIS OF DIFFERENT HYDRAULIC SPRAYERS USED IN SUGARCANE (Saccharum spp.)

ECONOMIC ANALYSIS OF DIFFERENT HYDRAULIC SPRAYERS USED IN SUGARCANE (Saccharum spp.)

SIMULATION OF DISTANCE BETWEEN FIELD AND REPLENISHMENT PUMP IN MECHANIZED SPRAYING OF SUGARCANE (Saccharum spp.)

Model development and optimisation of the disc plough efficiency on loamy-sand soil in South-East Nigeria

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