Foysal, Farhan Masud and Mondal, Shuvra and Riyad, Tarifuzzaman and Sikder, Shahin and Hasan, Jahid and Amir, Md. Asif and Mishu, Suborna Sharmin and Rahman, Md Sayedur (2025) Scalable IoT-based Smart Plant Monitoring and Control System for Sustainable Agriculture. Journal of Engineering Research and Reports, 27 (1). pp. 16-32. ISSN 2582-2926
Full text not available from this repository.Abstract
Smart Plant Monitoring and Controlling Systems offer transformative potential for modern agriculture through IoT integration, real-time monitoring, and automation. This research presents a cost-effective system capable of tracking soil moisture, temperature, humidity, and pH levels, alongside visual plant health detection using an ESP32 Camera module. Automated control of water pumps and sprayers ensures efficient irrigation and nutrient delivery based on predefined thresholds, while a user-friendly Blynk IoT platform enables remote management and monitoring. Energy-efficient design and scalability make the system suitable for diverse agricultural applications, from small-scale farming to large operations. Detailed cost analysis confirms its affordability, enhancing accessibility for resource-constrained farmers. This system addresses critical challenges like water conservation and crop health management, promoting sustainable and precision agricultural practices, and offering a scalable solution for global agricultural advancements.
Item Type: | Article |
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Subjects: | STM Academic > Engineering |
Depositing User: | Unnamed user with email support@stmacademic.com |
Date Deposited: | 11 Jan 2025 10:30 |
Last Modified: | 11 Jan 2025 10:30 |
URI: | http://article.researchpromo.com/id/eprint/2618 |