Development of a mobile computing framework to aid decision-making on organic fertilizer management using a crop growth model
Type de document
journalArticle
Langue source
Anglais
Titre français
Titre anglais
Development of a mobile computing framework to aid decision-making on organic fertilizer management using a crop growth model
Auteur(s)
- HYUN Shinwoo
- YANG Seung Mo
- KIM Junhwan
- KIM Kwang Soo
- SHIN Jae Hoon
- LEE Sang Min
- LEE Byun-Woo
- BERESFORD Robert M.
- FLEISHER David H.
Editeur(s)
Autre(s)
Id
PILSGAGA
Version
2348
Date ajout
15 janvier 2021 23:33
Date modification
15 janvier 2021 23:33
Résumé anglais
Interest in organic farming has increased to minimize the environmental issues associated with intensive crop production. However, the support for decision-making on organic fertilizer management has been limited, which would become a barrier for wide adoption of organic farming. Here we propose a software development framework to facilitate the development of a decision support system based on a mobile computing platform. In the present study, the Organic-fertilizer Application Support Information System (OASIS), which is compatible with the Android operating system, was implemented to perform the hindcast simulation of crop growth under organic management practices. The performance of OASIS was tested using 16 different smartphones. It was found that OASIS took a relatively short time, e.g., < five seconds, to simulate crop growth even using an outdated smartphone, although it took within about one minute to download the weather data. In a case study, the observation data from field experiments were applied to OASIS. Our results indicated that the hindcasts had relatively small differences in heading dates and yield, which were a maximum of one day and 10%, respectively. These results suggest that OASIS would support reasonable decision-making on organic fertilizer management practices. Our framework would guide the implementation of mobile applications to support decision-making on specific crop management practices.
Note
None
CRAW tags
- AB - Transversal
- FREDO fertilisation
- FREDO technologie et innovation
- GEO Corée du Sud
WEB tags
- edge computing
- mobile application
- site-specific nutrient management
- smart farm
- sustainability
Titre de la publication
Computers and Electronics in Agriculture
Volume
181
Pages
105936
Date caractères
February 1, 2021
Date publication
1 février 2021
Doi
10.1016/j.compag.2020.105936
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Il est donc plus fiable et permanent qu'une URL classique
Issn
0168-1699
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