Home / Regular Issue / JST Vol. 27 (1) Jan. 2019 / JST-0963-2017


Ma-Ease: An Android-Based Technology for Corn Production and Management

Sales Gamponia Aribe Jr., Jhon Michael H. Turtosa, Jul Maico B. Yamba and Alvin B. Jamisola

Pertanika Journal of Science & Technology, Volume 27, Issue 1, January 2019

Keywords: Corn farming mobile application, corn farming software solution, corn management, corn production, ICT in agriculture, ICT in corn farming, technofarm, technology in corn farming

Published on: 24 Jan 2019

Corn production is second to rice as the most important agricultural product in the country. Thus, proper information, management, and technology dissemination in corn farming are greatly needed for a good harvest. The study aims to develop a mobile application to comprehensively address the needs of corn farmers thru dissemination of proper information, management, and techniques through the cooperation of the City Agriculture Office (CAO) of Malaybalay City, Bukidnon, Philippines. It is anchored on the Unified Theory of Acceptance and the Use of Technology (UTAUT) Model, where there are core and direct determinants of user reception and usage behavior, as well as moderating factors on user's acceptance on mobile services and applications especially in the area of agriculture. The researchers use the method of "Modified Waterfall Model" or MWF Model as the process model for the development of Ma-Ease Application. The sequential structure of this approach ensures that all requirements are achieved before moving onto the next step and no important steps are left out in the development process. A presentation was conducted with the CAO Malaybalay officials and local corn farmers to introduce our technological solutions in the corn production like local and up-to-date weather updates, proper nutrient inputs and corn farming activities, efficient cost management, and control of corn pests and diseases. Effectivity tests were done during their actual interaction and engagement with the finished product and finding shows that the Ma-Ease mobile app has a grand mean of 4.175 for its acceptability and satisfaction rate which covers the area of functionality, reliability, usability, maintainability, efficiency and user interface. Thus, the software product was formally accepted and recommended for use and deployment by the Department of Agriculture (DA).

ISSN 0128-7680

e-ISSN 2231-8526

Article ID


Download Full Article PDF

Share this article

Recent Articles