Brown Planthopper (BPH) is one of the most dangerous insects that cause damage to rice. Aphids infected rice fields with low productivity can be lost even. Dealing with this situation, the Plant Protection industry has invented the light trap - a device based on the specific activity of insects phototaxis. These measures are considered effective and less costly today. However, the current light traps are usually installed next to the home of the staff assigned to manage light traps for easy tracking without attention to the impact of environmental factors around. Currently, the plant protection industry wants more scientific basis in light traps arranged so they want to review and make the factors of climate and geography in the light traps installed but not yet performed. In this paper, we propose an approach to find appropriate positions to replace light traps based on a combination between weather factors and geographical factors with data on infected areas by BPH with various infection levels exhibited on the maps based on Cellular Automata method. We present the simulation results with 8 considered cases to determine positions for light traps in an area of more than 1400 square kilometres including 84 communes in Can Tho city, one of the largest rice granaries in Vietnam.

褐飞虱（BPH）是对稻米造成危害的最危险的昆虫之一。蚜虫感染的低产稻田甚至会损失。为了应对这种情况，植物保护行业已经发明了捕光器-一种基于昆虫趋光性的特定活动的装置。如今，这些措施被认为是有效且成本较低的。但是，当前的照明灯通常安装在分配给管理照明灯的工作人员家附近，以方便跟踪，而无需注意周围环境因素的影响。当前，植物保护行业希望在布置的诱捕器中有更多的科学依据，因此他们希望对已安装但尚未执行的诱捕器进行审查并弄清气候和地理因素。在本文中，我们提出了一种方法，该方法基于天气因素和地理因素之间的结合，通过BPH感染区域的数据找到合适的位置来替换光阱，BPH具有基于Cellular Automata方法的地图上显示的各种感染水平。我们提供了8个经过考虑的案例的模拟结果，以确定在1400多平方公里面积内的诱捕装置的位置，其中包括越南最大的粮仓之一的芹T市的84个乡镇。