<abstract xmlns="http://www.w3.org/1999/xhtml">

The study aimed to determine the optimal pulverisation index of soil for disk harrow by modelling. A mathematical model was developed using a Design-Expert software and response surface methodology. Experiments were carried out in silty loamy soil with three different levels of soil moisture content of 9.25%, 17.56%, and 22.32%, operating depths of 10 cm, 15 cm, and 20 cm, and operating speeds of 3.17, 4.85, and 5.47 km·h-1. The quadratic model proposed by the Design-Expert software was statistically significant (<italic>P</italic> &lt;0.01), with a strong correlation relationship (<italic>R</italic>2 = 0.989) between actual and predicted soil pulverisation index values. The adequacy precision achieved at 41.84 showed the models‘ ability to navigate the design space. However, statistical analysis, using the <italic>t</italic>-test and <italic>P</italic>-value, showed the actual and predicted values have no significant differences in the pulverisation index of soil. The optimal soil pulverisation index (8.61 mm) was achieved with a desirability of 1.00, at a soil moisture content of 14.43%, an operating depth of 11.64 cm, and a forward speed of 5.30 km·h-1. Model validation confirmed acceptability (<italic>R</italic>2 = 0.974) and a 99% accuracy in predicting the soil pulverisation index.
</abstract>

The study aimed to determine the optimal pulverisation index of soil for disk harrow by modelling. A mathematical model was developed using a Design-Expert software and response surface methodology. Experiments were carried out in silty loamy soil with three different levels of soil moisture content of 9.25%, 17.56%, and 22.32%, operating depths of 10 cm, 15 cm, and 20 cm, and operating speeds of 3.17, 4.85, and 5.47 km·h-1. The quadratic model proposed by the Design-Expert software was statistically significant (P <0.01), with a strong correlation relationship (R2 = 0.989) between actual and predicted soil pulverisation index values. The adequacy precision achieved at 41.84 showed the models‘ ability to navigate the design space. However, statistical analysis, using the t-test and P-value, showed the actual and predicted values have no significant differences in the pulverisation index of soil. The optimal soil pulverisation index (8.61 mm) was achieved with a desirability of 1.00, at a soil moisture content of 14.43%, an operating depth of 11.64 cm, and a forward speed of 5.30 km·h-1. Model validation confirmed acceptability (R2 = 0.974) and a 99% accuracy in predicting the soil pulverisation index.

Optimisation and Modelling of Soil Pulverisation Index Using Response Surface Methodology for Disk Harrow Under Different Operational Conditions

University of Basrah, College of Agriculture

Department of Agricultural Machines and Equipment

Acta Technologica Agriculturae

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The study aimed to determine the optimal pulverisation index of soil for disk harrow by modelling. A mathematical model was developed using a Design-Expert...

Optimisation and Modelling of Soil Pulverisation Index Using Response Surface Methodology for Disk Harrow Under Different Operational Conditions

Publicado en línea: 08 jun 2024

Páginas: 76 - 83

DOI: https://doi.org/10.2478/ata-2024-0011

Palabras clave
Design-Expert software, soil moisture, operating depth, forward speed, quadratic model, Model validation

© 2024 Aqeel J. Nassir et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Optimisation and Modelling of Soil Pulverisation Index Using Response Surface Methodology for Disk Harrow Under Different Operational Conditions

Publicado en línea: 08 jun 2024

Páginas: 76 - 83

DOI: https://doi.org/10.2478/ata-2024-0011

Palabras claveDesign-Expert software, soil moisture, operating depth, forward speed, quadratic model, Model validation

© 2024 Aqeel J. Nassir et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Palabras clave
Design-Expert software, soil moisture, operating depth, forward speed, quadratic model, Model validation