TechComp Innovations: Journal of Computer Science and Technology
Vol. 3 No. 1 (2026): TechComp Innovations: Journal of Computer Science and Technology

IoT-Enabled Smart Plant Ecosystem Integrating Real-Time Monitoring, Automated Irrigation, and Intelligent Growth Optimization Frameworks

Md. Safaet Hossain (University of Information Technology and Sciences)
Israt Jahan (University of Information Technology and Sciences)
Jawata Afnan (University of Information Technology and Sciences)
Israt Sultana Tanny (University of Information Technology and Sciences)
Nashid Sultana Mim (University of Information Technology and Sciences)
Kayes Mahmood (University of Information Technology and Sciences)



Article Info

Publish Date
30 Jun 2026

Abstract

Urban plant care is increasingly important for sustainable living, but many users face inconsistent watering, insufficient care knowledge, unsuitable plant selection and delayed disease recognition. This study presents Easy Grow Plants, an integrated web and Internet of Things (IoT) ecosystem that connects plant care guidance, soil-moisture monitoring, automated watering, plant recommendation, image-based plant health assistance, marketplace functions, community interaction and plant exchange. The prototype was implemented using a React frontend, Django REST backend, SQLite database and an Arduino UNO R4 WiFi smart pot with a soil moisture sensor, relay module and DC water pump. Functional, interface, API, IoT connectivity, sensor calibration, watering control and LAN deployment tests were conducted. The results show that the core modules operated together as an integrated academic prototype. The system demonstrates a practical foundation for smart urban gardening, although cloud deployment, multi-device testing and stronger AI validation remain future improvements

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Journal Info

Abbrev

TechCompInnovations

Publisher

Subject

Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management

Description

TechComp Innovations: Journal of Computer Science and Technology is a premier scholarly publication dedicated to advancing knowledge and understanding in the rapidly evolving field of computer science and technology. The journal serves as a platform for researchers, academics, engineers, and ...