AMACA: Agricultural MAchine Cost Analysis app (original) (raw)
Abstract
Machinery and equipment are major cost items in farm businesses since many years in different countries. In the last years, moreover, high power machines, new technologies, higher prices for spare parts and energy contributed to the rising of the machines costs.The possibility to know in advance such costs is strategic for the farmers, but the agricultural machine cost determination available by internet applications are lacking of a mobile app.Aim of this work is to fill this gap with an easy to use mobile app, to determine the real machineries costs in different field operations and makes them available via web mobile application using a cross-platform approach.This paper describes the features of the web mobile app AMACA (Agricultural Machine App Cost Analysis) created by the authors using HTML language for the content, JavaScript for the logic part and CSS as a presentation style. To accelerate the development, the jQuery Mobile (JQM), a touchoptimized JavaScript library, was used. AMACA allows the analysis of traction costs and operation costs. The tool is free, readily available and does not need any installation on the end users devices. The tool was presented at service companies in agriculture, and people liked its features (mobile availability, easy of use, email parameters and results, easy cost calculation).
Loading Preview
Sorry, preview is currently unavailable. You can download the paper by clicking the button above.
References (9)
- ASABE. 2009. "D497.6: Agricultural Machinery Management Data." In ASABE Standards, St. Joseph, Mich.:ASABE.
- Bochtis Dionysis D., Claus G.C. Sørensen, and Patrizia Busato. 2014. "Advances in Agricultural Machinery Management: A Review." Biosystems Engineering 126: 69-81.
- Buckmaster Dennis R. 2003. "Benchmarking Tractor Costs." Applied Engineering in Agriculture 19(2): 151-54.
- Busato Patrizia, and Remigio Berruto. 2014. "A Web-Based Tool for Biomass Production Systems." Biosystems Engineering 120(2006): 102-16.
- Carnevalli Jose A., and Paulo Cauchick Miguel. 2008. "Review, Analysis and Classification of the Literature on QFD-Types of Research, Difficulties and Benefits." International Journal of Production Economics 114(2): 737-54.
- Chan Lai Kow, and Ming Lu Wu. 2002. "Quality Function Deployment: A Literature Review." European Journal of Operational Research 143(3): 463-97.
- Mazzetto F., A. Calcante, and F. Salomoni. 2009. "Development and First Tests of a Farm Monitoring System Based on a Client-Server Technology." In Precision Agriculture 2009 - Papers Presented at the 7th European Conference on Precision Agriculture, ECPA 2009,, 389-96.
- Sørensen C.G., and D.D. Bochtis. 2010. "Conceptual Model of Fleet Management in Agriculture." Biosystems Engineering 105(1): 41-50.
- Xin Jiannong et al. 2015. "Delivering Knowledge and Solutions at Your Fingertips: Strategy for Mobile App Development in Agriculture." Agricultural Engineering International: CIGR Journal 2015: 317-25.