Système d'information stratégique et agriculture (serveur d'exploration)

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Evolution of a Structure-Searchable Database into a Prototype for a High-Fidelity SmartPhone App for 62 Common Pesticides Used in Delaware

Identifieur interne : 000055 ( Pmc/Checkpoint ); précédent : 000054; suivant : 000056

Evolution of a Structure-Searchable Database into a Prototype for a High-Fidelity SmartPhone App for 62 Common Pesticides Used in Delaware

Auteurs : Malcolm J. D'Souza [États-Unis] ; Benjamin Barile [États-Unis] ; Aaron F. Givens [États-Unis]

Source :

RBID : PMC:4604753

Abstract

Synthetic pesticides are widely used in the modern world for human benefit. They are usually classified according to their intended pest target. In Delaware (DE), approximately 42 percent of the arable land is used for agriculture. In order to manage insectivorous and herbaceous pests (such as insects, weeds, nematodes, and rodents), pesticides are used profusely to biologically control the normal pest's life stage. In this undergraduate project, we first created a usable relational database containing 62 agricultural pesticides that are common in Delaware. Chemically pertinent quantitative and qualitative information was first stored in Bio-Rad's KnowItAll® Informatics System. Next, we extracted the data out of the KnowItAll® system and created additional sections on a Microsoft® Excel spreadsheet detailing pesticide use(s) and safety and handling information. Finally, in an effort to promote good agricultural practices, to increase efficiency in business decisions, and to make pesticide data globally accessible, we developed a mobile application for smartphones that displayed the pesticide database using Appery.io™; a cloud-based HyperText Markup Language (HTML5), jQuery Mobile and Hybrid Mobile app builder.


Url:
DOI: 10.1109/IIC.2015.7150714
PubMed: 26478918
PubMed Central: 4604753


Affiliations:


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PMC:4604753

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