A Mobile Application for Organic Farming Assistance Techniques using Time-Series Algorithm

Autor: Gracelyn I. Delmita, Jasmin A. Caliwag, Joshua M. Arpia, Roxanne A. Pagaduan, Paula Jean M. Castro
Rok vydání: 2019
Předmět:
Zdroj: Proceedings of the 2019 2nd International Conference on Information Science and Systems.
DOI: 10.1145/3322645.3322697
Popis: The study focused on the development of a mobile application which aims to assist farmers and target users with the different techniques in planting crops. The application includes suggestions on which type of crop is suitable to plant in a specific type of soil and season. This application also provides guidelines on how to make essential fertilizer to help farmers in treating different crops condition. Furthermore, the developers implemented the time-series moving average algorithm which allows farmers and other users to monitor their expenses and forecast the demand on their crops. The Prototyping method was applied by the researchers as the methodology during the development of the project due to the increase in the number of requirements and series of remodeling. The developed application was evaluated by agriculturist, IT professionals and target users using ISO/IEC 9126 as a tool for software testing, usability, functionality, and reliability. The results of the evaluation showed that the application was able achieved the defined objectives from the outcome of the survey given to the experts and other evaluators.
Databáze: OpenAIRE