Amongo Rossana Marie, Saludes Ronaldo, Gallegos Ralph Kristoffer, Relativo Patrick Lemuel, Duminding Ria Salustia, Pantano Adrian Daniel, Cunan Julius John Paul, Lalap-Borja Gherlee Nelle
IABE, CEAT, UPLB, Los Baños, Laguna, Philippines.
Sci Rep. 2023 Oct 25;13(1):18272. doi: 10.1038/s41598-023-45071-w.
Agricultural machinery distribution programs are key components of the Philippine government to strengthen its economic productivity. However, concerns were reported that some of the distributed machines were under-utilized or unutilized in their respective farms. This study is focused on the development of a GIS-based model of determining suitable lowland rice areas for two-wheel and four-wheel tractors. A numerical rating system was designed that assigns a suitability score from three criteria, namely slope, road network proximity, and flood risk, based on established scales. Analytical Hierarchy Process was used as an approach to determine the relative influence in which results show that slope has the greatest weight (65%) followed by flood risk and road network proximity with 20% and 15%, respectively. The total suitability score (TSS) is then determined by getting the weighted average of the individual suitability scores. Land suitability mapping on the study area, the CALABARZON region, show that majority of the lowland rice areas are highly suitable for two-wheel and four-wheel tractors (81.39%) while some areas fall under marginal (15.03%) and moderate suitability (3.58%). Geotagged locations of the distributed agricultural tractors from 2015 to 2020 reveal that 78% of the distributed two-wheel tractors and 80% of four-wheel tractors in the region are situated in highly suitable areas. The GIS-based suitability model generated in this study can be utilized by the government to improve its machine distribution programs of two-wheel and four-wheel tractors in lowland rice farms.
农业机械分配计划是菲律宾政府提高经济生产力的关键组成部分。然而，有报告称，一些分配到的机械在各自农场中未得到充分利用或根本未被使用。本研究的重点是开发一种基于地理信息系统（GIS）的模型，用于确定适合两轮和四轮拖拉机作业的低地水稻种植区。设计了一个数值评级系统，根据既定标准，从坡度、道路网络 proximity（原文可能有误，推测为“距离”）和洪水风险这三个标准分配适宜性分数。层次分析法被用作确定相对影响的方法，结果表明坡度的权重最大（65%），其次是洪水风险和道路网络距离，分别为20%和15%。然后通过计算各个适宜性分数的加权平均值来确定总适宜性分数（TSS）。研究区域甲米地、内湖、奎松、黎刹和八打雁地区（CALABARZON region）的土地适宜性制图显示，大部分低地水稻种植区非常适合两轮和四轮拖拉机作业（81.39%），而一些地区属于边际适宜（15.03%）和中等适宜（3.58%）。2015年至2020年分配的农用拖拉机的地理标记位置显示，该地区78%的两轮拖拉机和80%的四轮拖拉机位于高度适宜的区域。本研究中生成的基于GIS的适宜性模型可供政府用于改进其在低地水稻农场的两轮和四轮拖拉机机械分配计划。
