Using new computer based techniques to optimise energy consumption in agricultural land levelling

Land levelling is one of the most energy-demanding steps in soil preparation. There are many limiting factors for a specific land operation, such as fertile topsoil conservation, limited allowed slope, cut to fill ratio, etc. These limitations make optimisation problems even more complicated. In this research, three computational and evolutionary methods including ICA, PSO, GA along with MLS were utilised minimise volumes determine preferred plane. The results indicated that ICA had efficient solution energy among other investigated by saving 29% (17 GJ) total consumption compared MLS. This study deals optimising during projects using new computer-based techniques compares them method benchmark. All all, performed much better than 29, 17, 10% their best model (number 1 models), respectively. Nonetheless, these great capacities developing countries, unfortunately, lack education excess subsidies on fossil fuels nullify potentials.