H. Nasir, Ahmad Nazrin Aris, Adidah Lajis, K. Kadir, S. Safie
{"title":"Development of Android Application for Pest Infestation Early Warning System","authors":"H. Nasir, Ahmad Nazrin Aris, Adidah Lajis, K. Kadir, S. Safie","doi":"10.1109/ICSIMA.2018.8688774","DOIUrl":null,"url":null,"abstract":"Rice production has become more important as Malaysian's rice demand is expected to increase annually. In order to fulfill the rice demand of the growing population and with the target rice self-sufficiency by 100% [1], Malaysia has to increase its rice productivity. But, one of the major problems faced by the rice sector is the pest attacks. Thus, there is a need to have an early warning system to alert the paddy farmer on the infestation of the pest at early stages. This paper aims to design an early warning system of pest infestation for paddy farming, which consists of Android Apps and a web-based application. The system will be used by the Agriculture Department to detect the occurrence of pest infestation, identifying their location and report to the early warning system. The system will be able to record the infestation data provided by the farmers into the databases. The information will be used by the Agronomist to assess the risk of the paddy plot. There are 4 stages of risk; Low, Medium, High and Very High. Every stage will be classified by the amount of pest, type of pest, location and current situation. After a complete evaluation from the Agronomist, the system will notify the farmers through email about the quality of their current paddy plot.","PeriodicalId":222751,"journal":{"name":"2018 IEEE 5th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 5th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSIMA.2018.8688774","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Rice production has become more important as Malaysian's rice demand is expected to increase annually. In order to fulfill the rice demand of the growing population and with the target rice self-sufficiency by 100% [1], Malaysia has to increase its rice productivity. But, one of the major problems faced by the rice sector is the pest attacks. Thus, there is a need to have an early warning system to alert the paddy farmer on the infestation of the pest at early stages. This paper aims to design an early warning system of pest infestation for paddy farming, which consists of Android Apps and a web-based application. The system will be used by the Agriculture Department to detect the occurrence of pest infestation, identifying their location and report to the early warning system. The system will be able to record the infestation data provided by the farmers into the databases. The information will be used by the Agronomist to assess the risk of the paddy plot. There are 4 stages of risk; Low, Medium, High and Very High. Every stage will be classified by the amount of pest, type of pest, location and current situation. After a complete evaluation from the Agronomist, the system will notify the farmers through email about the quality of their current paddy plot.