Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
As agricultural and environmental research projects become more complex, increasingly with multiple outcomes, the demand for technical support with experiment management and data handling has also increased. Interactive visualisation solutions are user-friendly and provide direct information to facilitate decision making with timely data interpretation. Existing off-the-shelf tools can be expensive and require a specialist to conduct the development of visualisation solutions. We used open-source software to develop a customised near real-time interactive dashboard system to support science experiment decision making. Our customisation allowed for: • Digitalised domain knowledge via open-source solutions to develop decision support systems. • Automated workflow that only executed the necessary components. • Modularised solutions for low maintenance cost and upgrades.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922957 | PMC |
http://dx.doi.org/10.1016/j.mex.2023.102031 | DOI Listing |
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