药用植物土地适宜性评价工具

S. E. Rahim, Ahmad Affandi Supli, N. Damiri, Chairil Zaman, H. Husin
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引用次数: 1

摘要

长期以来,药用植物一直是非常重要的植物,它们对维持世界上数百万人的健康负有责任。根据土地适宜性评价结果,必须在适宜的土地上种植这些作物。粮食及农业组织(粮农组织)于1970年代末提出了一个评估许多土地用途的土地适宜性的框架。随着智能手机的出现,如今它成为解决大多数情况下问题的无处不在的技术,如教育、农业、医学、心理学和许多其他领域。本文将通过将框架转换为移动应用程序来利用这种优势。该解决方案希望帮助土地使用者或规划者更有效和高效地评估他们的土地。采用基于规则系统(Rule Based System, RBS)的算法将框架构造成一组相互连接的规则,从而得出适用性的结论。这些规则本身是基于一些变量,即年降雨量、海拔、排水、土壤类型、pH值、洪水风险、土壤肥力、土壤深度等。本研究仅以三种药用作物为研究对象,分别为核桃、豆蔻和洋葱。决定作物适宜性的农业气候数据被发展成植物的一般和特定标准。对40名使用该app的受访者进行可用性模型研究,发现该app的可用性处于“非常好”的分类,维度得分在3.79到4.22之间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation Tool of Land Suitability for Medicinal Plants
Medicinal plants have been very important plants that are responsible in maintaining the health of millions of people in the world  since a very long time. Planting these crops must be carried out on a land that is suitable based on the results of a land suitability evaluation.  A framework to evaluate the land suitability for many land uses is initiated by Food and Agricultural Organization (FAO) in the late 1970’s. As the advent of smart phone nowadays becoming ubiquitous technology to solve problems in most settings, such as education, agriculture, medicine, psychology, and many others. This paper is to capitalize such advantage by converting the framework into a mobile app. This solution is hoped to help land users or planners to be more effective and efficient in evaluating their land. An algorithm is employed in the form the Rule Based System (RBS) in a way to construct the framework into bunch of rules that connect each other, resulting the conclusion of suitability. The rules itself are working on some variables, namely annual rainfall, altitude, drainage, soils’ type, pH, flood risk, fertility of the soils, soil solumn depth, etc. This study focuses on three medicinal crops only, which are candlenut, cardamom and onion to be evaluated. Data of agro climatic that were determining the suitability of the crops were developed into general and specific criteria for the plants. A usability model was studied from 40 respondents using the app. It is found that the usability of the app was in “very good” classification, with dimension scores, ranging from 3.79 and 4.22.
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