机械化
播种
农业工程
棕榈油
选择(遗传算法)
肥料
农林复合经营
计算机科学
工程类
农学
环境科学
农业
生物
人工智能
生态学
作者
Helena Anusia James Jayaselan,Desa Ahmad
摘要
This article describes a study on the conceptual design and development of the most efficient mechanization selection system for oil palm plantations with alternative planting patterns. The study was conducted by extrapolating various planting patterns based on the existing triangular pattern and comparing these with machine information based on a constant mechanization package made for a large and rather flat area. The comparison of machines was conducted in earlier studies based on a combination of various plantation operations like fertilizer application, weeding, harvesting, in-field collection and loose fruit collection. The results obtained suggest that the most efficient planting pattern is the triangular planting pattern. The findings from this study will help to determine the efficiency of each machine besides optimizing the cost of implementing the package.
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