title: A wireless sensor network-based ubiquitous paprika growth management system.
abstract: Wireless Sensor Network (WSN) technology can facilitate advances in productivity, safety and human quality of life through its applications in various industries. In particular, the application of WSN technology to the agricultural area, which is labor-intensive compared to other industries, and in addition is typically lacking in IT technology applications, adds value and can increase the agricultural productivity. This study attempts to establish a ubiquitous agricultural environment and improve the productivity of farms that grow paprika by suggesting a 'Ubiquitous Paprika Greenhouse Management System' using WSN technology. The proposed system can collect and monitor information related to the growth environment of crops outside and inside paprika greenhouses by installing WSN sensors and monitoring images captured by CCTV cameras. In addition, the system provides a paprika greenhouse environment control facility for manual and automatic control from a distance, improves the convenience and productivity of users, and facilitates an optimized environment to grow paprika based on the growth environment data acquired by operating the system.
authors.affiliation: School of Information and Communication Engineering, Sunchon National University, Maegok-dong, Suncheon-si, Jeollanam-do, Korea. jhwang@sunchon.ac.kr
authors.forename: Jeonghwan
authors.initials: J
authors.lastname: Hwang
authors.forename: Changsun
authors.initials: C
authors.lastname: Shin
authors.forename: Hyun
authors.initials: H
authors.lastname: Yoe
mesh_terms: D000383:Agriculture / Q000295:instrumentation* / Q000379:methods; D000465:Algorithms; D001331:Automation; D002212:Capsicum / Q000254:growth & development*; D003195:Computer Communication Networks / Q000295:instrumentation*; D018556:Crops, Agricultural / Q000254:growth & development; D004780:Environment, Controlled; D004867:Equipment Design; D005161:Facility Regulation and Control; D006801:Humans; D008954:Models, Biological; D058998:Remote Sensing Technology / Q000295:instrumentation* / Q000379:methods; D059015:Wireless Technology / Q000295:instrumentation*