A Realtime Spatiotemporal Data Acquisition System for Precision Agriculture
- Authors
- Lee, Seong-Hun; Oumaima, Messaoudi; Ryu, Su-Hyeon; Park, Jaehwa
- Issue Date
- Aug-2017
- Publisher
- IEEE
- Keywords
- Precision Agriculture; spatiotemporal data; multi-view stereo
- Citation
- 2017 13TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENVIRONMENTS (IE 2017), v.2017-January, pp 149 - 152
- Pages
- 4
- Journal Title
- 2017 13TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENVIRONMENTS (IE 2017)
- Volume
- 2017-January
- Start Page
- 149
- End Page
- 152
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/56540
- DOI
- 10.1109/IE.2017.23
- ISSN
- 2469-8792
- Abstract
- A real-time data acquisition system for precision agricultural is presented. Using the system, the spatiotemporal data for the specific local area can be collected at small expense. A hardware frame is designed to take synchronized multi-view images of the target plants as well as environmental data. To monitor the growth of plants or crops, set of images are taken periodically and a multi-view stereo technique is adopted to build a 3-D model to represent the target plant. For real-time monitoring an application running on the Android platform is developed also.
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Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
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