Empowering Agriculture: Exploring User Sentiments and Suggestions for Plantix, a Smart Farming Application

• 영문명: Empowering Agriculture: Exploring User Sentiments and Suggestions for Plantix, a Smart Farming Application
• 발행기관: 한국스마트미디어학회
• 저자명: Mee Qi Siow Mu Moung Cho Han Yu Na Lee Seon Yeong Yu Mi Jin Noh Yang Sok Kim
• 간행물 정보: 『스마트미디어저널』Vol12, No.10, 38~46쪽, 전체 9쪽
• 주제분류: 공학 > 컴퓨터학
• 파일형태: PDF
• 발행일자: 2023.11.30

영문 초록

Farming activities are transforming from traditional skill-based agriculture into knowledge-based and technology-driven digital agriculture. The use of intelligent information and communication technology introduces the idea of smart farming that enables farmers to collect weather data, monitor crop growth remotely and detect crop diseases easily. The introduction of Plantix, a pest and disease management tool in the form of a mobile application has allowed farmers to identify pests and diseases of the crop using their mobile devices. Hence, this study collected the reviews of Plantix to explore the response of the users on the Google Play Store towards the application through Latent Dirichlet Allocation (LDA) topic modeling. Results indicate four latent topics in the reviews: two positive evaluations (compliments, appreciation) and two suggestions (plant options, recommendations). We found the users suggested the application to additional plant options and additional features that might help the farmers with their difficulties. In addition, the application is expected to benefit the farmer more by having an early alert of diseases to farmers and providing various substitutes and a list of components for the remedial measures.

목차

I. INTRODUCTION

II. RELATED WORK

III. METHODOLOGY

IV. RESULT

V. CONCLUSION

REFERENCES

키워드

Smart farming Plant disease detection User review analytics LDA Text Mining