棕榈
象鼻虫
钩吻病毒
农业工程
任务(项目管理)
有害生物分析
侵染
生产力
计算机科学
相似性(几何)
生物
农林复合经营
人工智能
农学
工程类
园艺
物理
量子力学
图像(数学)
宏观经济学
经济
系统工程
作者
Betty Martin,A. Vimala Juliet
出处
期刊:Advanced Materials Research
日期:2013-01-01
卷期号:634-638: 3853-3857
被引量:9
标识
DOI:10.4028/www.scientific.net/amr.634-638.3853
摘要
Red Palm Weevil is a deadly pest on palms. It destroys thousands of palms every year by feeding on the soft tissues of palm trunk which are less than 15-20 years. The productivity decreases resulting in huge loss. There is no accurate or exact solution to destroy this infestation in the early stages. Hence there arises a technology to identify the presence of RPW along with its larva by sensing its sound. To achieve this task, we need to devise an acoustic sensor so that defected trees can be easily picked up and proper measures can be engaged to destroy the pest. This technology depends on the acoustic emissions from pests. Clustering is also done on input data recorded which gives similarity measures between two signals. The Euclidean distance for the least significant output with the database will match and help in identifying the insect species.
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