Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.compag.2020.105936 |
Development of a mobile computing framework to aid decision-making on organic fertilizer management using a crop growth model | |
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. | |
通讯作者 | Kim, KS (corresponding author), Seoul Natl Univ, Dept Plant Sci, Seoul, South Korea. |
来源期刊 | COMPUTERS AND ELECTRONICS IN AGRICULTURE
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ISSN | 0168-1699 |
EISSN | 1872-7107 |
出版年 | 2021 |
卷号 | 181 |
英文摘要 | 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 five seconds, to simulate crop growth even using an outdated smartphone, although it took within about one minute to download the weather data.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. |
英文关键词 | Sustainability Mobile application Site-specific nutrient management Smart farm Edge computing |
类型 | Article |
语种 | 英语 |
收录类别 | SCI-E |
WOS记录号 | WOS:000618078200007 |
WOS类目 | Agriculture, Multidisciplinary ; Computer Science, Interdisciplinary Applications |
WOS研究方向 | Agriculture ; Computer Science |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/349885 |
作者单位 | [Hyun, Shinwoo; Yang, Seung Mo; Kim, Kwang Soo; Lee, Byun-Woo] Seoul Natl Univ, Dept Plant Sci, Seoul, South Korea; [Kim, Kwang Soo] Seoul Natl Univ, Res Inst Agr & Life Sci, Seoul, South Korea; [Kim, Junhwan] Natl Inst Crop Sci, Div Crop Physiol & Prod, Wanju Gun, Jeollabuk Do, South Korea; [Shin, Jae Hoon] Rural Dev Adm, Div Org & Management Innovat & Legal Affairs, Jeonju Si, Jeollabuk Do, South Korea; [Lee, Sang Min] Natl Inst Agr Sci, Div Organ Farming, Jeonju Si, Jeollabuk Do, South Korea; [Beresford, Robert M.] New Zealand Inst Plant & Food Res Ltd, Private Bag 92169, Auckland 1142, New Zealand; [Fleisher, David H.] ARS, Adapt Cropping Syst Lab, USDA, Beltsville, MD USA |
推荐引用方式 GB/T 7714 | Hyun, Shinwoo,Yang, Seung Mo,Kim, Junhwan,et al. Development of a mobile computing framework to aid decision-making on organic fertilizer management using a crop growth model[J],2021,181. |
APA | Hyun, Shinwoo.,Yang, Seung Mo.,Kim, Junhwan.,Kim, Kwang Soo.,Shin, Jae Hoon.,...&Fleisher, David H..(2021).Development of a mobile computing framework to aid decision-making on organic fertilizer management using a crop growth model.COMPUTERS AND ELECTRONICS IN AGRICULTURE,181. |
MLA | Hyun, Shinwoo,et al."Development of a mobile computing framework to aid decision-making on organic fertilizer management using a crop growth model".COMPUTERS AND ELECTRONICS IN AGRICULTURE 181(2021). |
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