Click on “Download PDF” for the PDF version or on the title for the HTML version.

If you are not an ASABE member or if your employer has not arranged for access to the full-text, Click here for options.

The Design and Implementation of Forage Machinery Management System by Using WEB Database

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  Paper number  131620082,  2013 Kansas City, Missouri, July 21 - July 24, 2013. (doi: @2013
Authors:   Jiansong Gao, Zhiqin Wang, Decheng Wang, Guanghui Wang
Keywords:   WEB Database Forage Machinery Management System Model Analysis Decision-making

Abstract. The development of forage mechanization in China started relatively late, recently with the implementation of the institutional restructuring of the national agricultural and grassland policy, the grass planting scale and the forage machinery market demand increases. Agricultural machinery manufacturers have started producing forage machinery or expanding production. And forage machinery manufacturers abroad are rushing into Chinese market. Thus, there are more and more forage machinery varieties, types and technological level, but the data on forage productions is messy and is lack of systematic statistics at present, and is not conductive to the grass mechanization development and decision-making. This article intends to build a forage machinery product information management system by collecting the relevant data of forage machinery products in China through multiple channels. The system is based on the WEB database python language and django framework with the third-party apps, like south, of django, providing managers the basis for development decisions by establishing a data model analyzing the forage machinery types and varieties as well as the geographical fluctuations and trends.

(Download PDF)    (Export to EndNotes)