PATH OPTIMIZATION OF SMALL TRACTOR FOR REMOVAL WEEDING SYSTEM IN OIL PALM PLANTATION
DOI:
https://doi.org/10.11113/aej.v14.20921Keywords:
Path optimization, genetic algorithm, small tractor, removal weeding, oil palm plantationAbstract
This research presents a path optimization based on genetic algorithm suitable for small tractor in order to mow or remove weeds in oil palm plantations. Fuel is the most important budget or cost for cutting weeds by tractor. Hence, the aim is to design an optimized path and calculation model for saving the cost of fuel of a tractor that can save the fix cost of oil palm farmers. Genetic algorithm is applied to find an optimized path of tractor for removal weeds compared with the conventional path of native oil palm farmers. Modified greedy genetic algorithm is introduced by using the greedy algorithm and ranking selection in the conventional GA. For the cutting machine, a Kubota weed cutter is installed at the tail of Kubota tractor. These experiments are tested at the Agricultural Learning Center, Mueang District, Ranong Province in the South of Thailand. Basic types of paths for removal weeding around the oil palm trees are line, rectangle and zig-zag. All three patterns of path driving of two small tractors for removal of weed are tested and evaluated. Pattern A is the round-trip in the same row, Pattern B is the U-typed trip in the next row and Pattern C is the spiral trip. Experimental results achieve in accordance with the energy savings and budget. After calculation, it found that Pattern C is the best way to save budget. Experiments on two types of tractors with Pattern C spent 7.44 min./0.41L and 14.89 min./0.53L of gasoline. Practical results in path optimization for driving tractors by native farmers are similar to the proposed calculation model.
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