Open AccessProgressive Web App for Crop Field Data Collection
Author(s) -
Phu Koysawat,
Chaya Boonprakob,
Khwantri Saengprachatanarug,
Arnut Chaosakul,
Panupong Wanjantuk,
Mahisorn Wongphati,
Santawat Santiteerakul,
Adulwit Chinapas,
Kanda Runapongsa Saikaew
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1163/1/012018
Subject(s) - computer science , data collection , upload , field (mathematics) , process (computing) , the internet , data science , web application , data mining , database , world wide web , statistics , mathematics , pure mathematics , operating system
General farming needs to have a matter of data collection. For efficient cultivation planning and harvesting, information must be collected for evaluation and analysis to make each harvest decision. For example, we need to assess plants’ ages, changes in size, color, and other senses (sweetness, smell, etc.) to plan for different crop field growth phases. Also, data collection problems occur due to the need to collect data in multiple locations simultaneously. Collecting information manually in the form of documents makes the process challenging to analyze. There is a need to collect field data more efficiently. Thus, this article proposes developing a web application to replace manual note-taking to reduce errors in recording and gathering data and missing data. Users can locate and modify crop field locations using latitude and longitude and work seamlessly with the Google Earth application. Furthermore, to accommodate practical use in real-life, the web application developed using Progressive Web Application (PWA) can perform without the Internet. Besides, PWA web applications are as fast as using an application on a smartphone without downloading and saving space. Based on the experimental result, compared with the process without using the application, it was found that the proposed application could reduce time in collecting sugarcane sampling data by about 45.28%