Predicting soil fragmentation during tillage operation using fuzzy logic approach |
| |
| Institution: | 1. Department of Civil Engineering, K. N. Toosi University of Technology, Tehran, Iran;2. Department of Civil Engineering, Tarbiat Modares University, Tehran, Iran;1. Electromechanical Systems Laboratory (LASEM), National Engineers School of Sfax (ENIS), Sfax University, PBW, Sfax 3000, Tunisia;2. National Agronomic Institute of Tunis (INAT), 43, Avenue Charles Nicolle 1082, Tunisia;3. Cranfield Soil and AgriFood Institute, Cranfield University, Bedfordshire MK43 0AL, United Kingdom;1. Agricultural Machinery Research and Design Centre, School of Engineering, University of South Australia, SA 5095, Australia;2. International Maize and Wheat Improvement Centre, Gulshan 2, Dhaka 1212, Bangladesh;1. Department of Biosystem Engineering, Sari Agricultural Science and Natural Resources University, 9th km of Sea Road, Sari, Iran;2. Department of Polymer Engineering and Color Technology, Amirkabir University of Technology, Tehran, Iran;3. Department of Polymer Engineering, Tarbiat Modares University, Tehran, Iran |
| |
| Abstract: | One of the main characteristics of the soil structure, which affects the plant growth and its yield, is its aggregates size. Correct tillage operations leads to prevention from soil degradation and help to maintain and improve its physical, chemical, and biological characteristics. In this paper, a model based on fuzzy logic approach was used to describe the soil fragmentation for seedbed preparation in the composition of primary and secondary tillage implements of subsoiler, moldboard plow and disk harrow as conventional tillage composition in the region. Field experiments were carried out at educational and research farms of faculty of agriculture, University of Mohaghegh Ardabili. In this paper, an intelligent model, based on Mamdani approach fuzzy modeling principles, was developed to predict soil fragmentation during tillage operation. The model inputs included soil moisture content, tractor forward speed and soil sampling depth. The fuzzy model consisted of 50 rules, in which three parameters of root mean square error (RMSE), relative error (ɛ), and coefficient of determination (R2) were used to evaluate the fuzzy model. These parameters were calculated 0.167%, 3.95%, and 0.988%, respectively. According to the results of this research, the fuzzy model can be introduced as one of the methods for predicting soil fragmentation during the tillage operation with high accuracy. |
| |
| Keywords: | Tillage Soil fragmentation Mamdani approach Fuzzy model |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
