Nano 2026

Land leveling is one of the most important steps in soil preparation for agricultural processes. In this regard, different considerations are required to satisfy energy consumption and environmental urges as well as financial aspects. On the other hand, energy conservation is regarded as one of the most important factors in agricultural sector due to its relation to pollution which is a result of fossil fuel (particularly gasoline) usage. The objective of this research was to develop three methods including artificial neural network (ANN), regression and adaptive neural fuzzy inference system (ANFIS) to predict effect of soil properties on the environmental indicators in land leveling and to analysis the sensitivity of these parameters. So, several soil properties such as soil, cut/fill volume, soil compressibility factor, specific gravity, moisture content, slope, tillage depth, forward speed, cone index and soil swelling index in energy consumption were investigated. A total of 90 samples were collected from 3 land areas with the selected grid size of (20m×20m). The acquired data were used to develop accurate models for fuel energy (FE), total machinery cost (TMC) and total machinery energy (TME). By applying the four mentioned analyzing methods, the results of regression showed that only four parameters of tillage depth, forward speed, cone index and cut/fill volume had significant effects on energy consumption. According to the obtained results, the models regression, ANFIS and ANN had satisfactory performance in predicting aforementioned parameters in the various field conditions. The ANN had the most capability in FE prediction according to the least RMSE and the highest R² values 0.0206 and 0.9983, respectively. The ANFIS model had the most capability in prediction of the environmental and energy parameters with the least RMSE and the highest R² for TMC, 0.0287 and 0.9966, and for TME, 0.0157 and 0.9990, respectively.

Alzoubi has completed his PhD at the age of 40 years Tehran University and postdoctoral studies from Tehran University School of Surveying Geospatial Engineering-Department of Surveying and Geomatics Engineering. He is the director at the Directorate of Engineering and Transportation, a premier service organization. He has published more than 15 papers in reputed journals and has been serving as an editorial board member of repute. He Opening and studying the financial offers and the organization of the fundamental record, supervising the efficiency of electrical generators at Nseeb border center, and Supervising the efficiency of agricultural machinery at the ministry of agriculture.