Paper Info
Title
Prediction of the appearance of monkeys based on weather data and wireless sensing network
Abstract
Recently agricultural damage caused by monkeys is a critical problem in Japan. We propose a system that predicts what date and time monkeys approach into farmland. In order to make predictions, we had monkeys wear collars with transmitters and collected the trend data of the distances of monkeys by the receivers in this system. The time of appearing monkeys, and the weather data are taken for the estimation. We adopted both of Bayesian estimation as a linear method and Support Vector Machine as a non-linear method. As a result, the Bayesian estimation had little effect, but the Support Vector Machine outperformed the Bayesian estimation, so the effectiveness of the predicting system of monkeys by the weather data was confirmed.
Year
DOI
Venue
2014
10.1109/ICMU.2014.6799091
Mobile Computing and Ubiquitous Networking
Keywords
DocType
Citations 
agriculture,radio receivers,radio transmitters,support vector machines,telecommunication computing,wireless sensor networks,bayesian estimation,japan,agricultural damage,farmland,linear method,monkey appearance prediction,nonlinear method,receivers,support vector machine,transmitters,weather data,wireless sensing network,appearance prediction,received signal strength indication,supprt vector machine
Conference
0
PageRank 
References 
Authors
0.34
2
3
Name
Order
Citations
PageRank
Kazufumi Nakai100.34
Akihiko Sugiura202.70
nobuo ezaki313012.07