A Development of Classification of Thai Mushroom Application for Identified Wild Mushroom Species on Android Operating System

Main Article Content

Ajjima Thongbor
Chuleeporn Chantharasena
Weeranuch Khottawong
Chotika Ong-ardnarong
Sittiporn Parnmen
Nattakarn Nooron
Sujitra Sikaphan
Khwanyuruan Naksuwankul

Abstract

An application on the Android operating system is used for research and development for identifying wild mushroom species. The aim of this study is to create a tool that can identify poisonous and edible mushroom species based on their morphological similarity to the Android operating system. The application identified wild mushroom species by scanning the fruiting body and comparing the image with morphological characters from a database in the cloud. The data of images provided for each species includes at least 1,000 images from different ages, sizes, and colors of the fruiting body. The next step is to train and test to recognize the morphology of mushrooms in each species for precise processing. The result shows satisfaction in four groups for using an application; 1) the village health volunteer, 2) medical staff, 3) experts, and 4) general user. The satisfaction showed a good level (equation = 3.86, S.D. = 1.03) in an easier-to-install application, correct and rapid processing, good application and benefit, a confident decision to select mushroom for food after using an application, and knowledge about mushroom when eating poisonous mushrooms, and preliminary health care data when getting poison from mushrooms. Therefore, the application tool for screening wild mushrooms for decision making.

Article Details

How to Cite
[1]
A. Thongbor, “A Development of Classification of Thai Mushroom Application for Identified Wild Mushroom Species on Android Operating System”, J of Ind. Tech. UBRU, vol. 15, no. 1, pp. 1–14, Jun. 2025.
Section
Research Article

References

Bureau of Epidemiology, “Food Poisonous.” Department of Disease Control, Ministry of Public Health. Accessed: Aug. 7, 2021. [Online]. Available: http://odpc8.ddc.moph.go.th/upload_epi_article/sJIlNxeyrf6wRgvKW0MF.pdf

K. Naksuwankul, A. Thongbor, C. Chantharasena, C. Ong-ardnarong, S. Polrat, S. Parnmen, N. Nooron, S. Sikaphan and S. Leudang, “Classification of Poisonous Mushrooms Based on Morphological Characteristics and Indigenous Knowledge at Ubon Ratchathani Province,” KKU Science Journal, vol. 49, no. 1, pp. 40–57, 2021. (in Thai)

S. Phalachaipiromsil, “Usages Trend of Mobile application,” Executive Journal, vol. 31, no. 4, pp. 110–115, 2011. (in Thai)

W. Khampoo and C. Nampol, “The development of cassava price comparison application on Android operating system for purchaser in Nam Yuen District, Ubon Ratchathani,” Journal of Industrial Technology, Ubon Ratchathani Rajabhat University, vol. 10, no. 2, pp. 37–48, 2020. (in Thai)

P. Longpradit and S. Noimahawai, “Personalised location awareness application for Phetchaburi tourism with Google Map API on mobile with Android operating system,” Journal of Information Technology Management and Innovation, Mahasarakham University, vol. 3, no. 1, pp. 71–79, 2016. (in Thai)

S. Chanpum, P. Chanpum and P. Jarutun, “The development of mobile application for tourist attractions in Sakon Nakhon Province on Android,” Journal of Technology Management, Rajabhat Mahasarakham University, vol. 4, no. 2, pp. 114–120, 2017. (in Thai)

K. Dokduang, B. Totum and P. Kosapan, “Development of diabetic patient healthcare application for elderly people in Ubon Ratchathani Province,” Journal of Industrial Technology, Ubon Ratchathani Rajabhat University, vol. 11, no. 2, pp. 53–65, 2021. (in Thai)

P. Suansokchuak and M. Sududom, “The forecasting application for further study selection based on personal preference,” Journal of Industrial Technology, Ubon Ratchathani Rajabhat University, vol. 11, no. 1, pp. 29–40, 2021. (in Thai)