Show simple item record

dc.contributor.authorKazuki, Murata
dc.contributor.authorAtsushi, Ito
dc.contributor.authorHiroyuki, Hatano
dc.date.accessioned2017-07-05T13:21:27Z
dc.date.available2017-07-05T13:21:27Z
dc.date.issued2017
dc.identifier.citationKazuki, M., Atsushi, I., & Hiroyuki, H. (2017). A Study on growth condition analysis of rice. In Pan African Conference on Science, Computing and Telecommunications (PACT). Nairobi: Strathmore University. Retrieved from https://su-plus.strathmore.eduen_US
dc.identifier.urihttp://hdl.handle.net/11071/5176
dc.descriptionKazuki, M., Atsushi, I., & Hiroyuki, H. (2017). A Study on growth condition analysis of rice. In Pan African Conference on Science, Computing and Telecommunications (PACT). Nairobi: Strathmore University. Retrieved from https://su-plus.strathmore.edu
dc.description.abstractSelf-sufficiency of food is one of the most important target for Japan, however, because of decreasing the population of agriculture sector due to the progress of aging, it is difficult to realize this target. One of the main reasons of decreasing the population in agriculture is hard work in the field and requirement of experience. Our study focuses on supporting aging farmers, weekend farmers and new comers in the agriculture to reduce labor and cost, and providing system to compensate experience by using ICT. For this purpose, we are developing technology to evaluate growing condition of rice and vegetables in a field by using a drone and a multi-spectrum camera. By using this technology, it might be possible to reduce the hard work under the scorching sun and to support unexperienced young farmers. In this paper, we mention the outline of the technology that we used and the result of feasibility study to analyze growth condition of rice using drone. We measured normalized difference vegetation index (NDVI) and normalized difference red edge index (NDRE) from a drone and analyzed the data to estimate growth condition of rice. We found it was possible to find the area where growth is delaying and estimate heading day.en_US
dc.description.sponsorshipInternational Institute of Engineering and Technology; IEEEen_US
dc.language.isoenen_US
dc.publisherStrathmore Universityen_US
dc.subjectDroneen_US
dc.subjectGrowth Conditionen_US
dc.subjectMulti-spectral Cameraen_US
dc.subjectNDREen_US
dc.subjectNDVIen_US
dc.subjectRiceen_US
dc.titleA Study on growth condition analysis of rice using dronesen_US
dc.typeConference paperen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record