Evidence map›Paper›PMID 31614637›Full record

ArticleSensors (Basel, Switzerland)2019

Near Field Communication-based Agricultural Management Service Systems for Family Farms.

Xue-Fen Wan, Tao Zheng, Jian Cui, Fan Zhang, Zi-Qian Ma, Yi Yang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Xue-Fen WanHebei IoT Monitoring Engineering Technology Research Center/Computer College, North China Institute of Science and Technology, Langfang 065201, China. calmerd@ncist.edu.cn.
Tao ZhengSchool of Economics and Management, Yanshan University, Qinhuangdao 066004, China. ztao@ysu.edu.cn.
Jian CuiSchool of Cyber Science and Technology, Beijing University of Aeronautics and Astronautics, Beijing 100083, China. cuijianw@buaa.edu.cn.
Fan ZhangCollege of Information Science and Technology, Donghua University, Shanghai 201620, China. 2181287@mail.dhu.edu.cn.
Zi-Qian MaCollege of Information Science and Technology, Donghua University, Shanghai 201620, China. mzq0920@163.com.
Yi YangCollege of Information Science and Technology, Donghua University, Shanghai 201620, China. yiyang@dhu.edu.cn.

Funding

Langfang Research and Development Program about Science & Technology 2019011010National Key Research and Development Plan 2018YFC0808306Qinhuangdao Science and Technology Research and Development Program 201805A016
6 · The paper itself

Abstract

This paper presents an agricultural management service system that aims to meet the needs of Internet of Things (IoT) information upgrades in China's family farms. The proposed agricultural management service system consists of Near Field Communication (NFC) tags, in-field service nodes, and smartphones. NFC tags are used as the core identifier of various agricultural management elements. The in-field service node, which is based on a programmable system-on-chip with intellectual property cores (IP core), supports distributed agriculture device management and smartphone operations. Smartphones in the proposed system include the management assistant application (app) and management service app, which are designed for agricultural management support functions and agricultural management application requirements. Through this system, the needs of diverse agricultural management practices can be effectively satisfied by a unified system structure. The practical results show that the design can be used to construct diversified agricultural IoT information application service systems simply and effectively, and it is especially suitable for Chinese family farm operators who are implementing IoT information upgrades for smart agriculture.

Indexed as

Android appfamily farmNFCprogrammable system-on-chipsmart agriculturesmartphone

Identifiers

PMID31614637
PMCPMC6832902

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.