Abstract
In order to assist precision agriculture and improve crop monitoring efficiency, we created the Automated Live Agriculture Monitor (ALAM), a web-based system that incorporates a wireless sensor network (WSN) and the Internet of Things (IoT). This system is intended to monitor critical plant and environmental factors such as temperature, air humidity, soil moisture, and light intensity in real time. Sensors located around the farms provide data to a central server via communication modules such as Wi-Fi on a regular basis, which subsequently visualizes the data using an interactive web interface. The acquired data is not only shown in real time, but it is also saved as historical data that may be studied later to aid agricultural decision-making, such as irrigation automation. Preliminary testing results show that the system performs consistently, with good measurement precision and data transfer dependability. With this approach, ALAM is projected to become a unique solution for efficient, smart, and sustainable crop monitoring, as well as a support for the agricultural sector's digitalization across several geographies.
Keywords:
Web-based System Crop Monitaring Real Time Internet of ThingsReferences
Guo, R., Chen, Y., & Zhang, L. (2024). Compound drought and heatwaves affect vegetation productivity and spatial vulnerability. Nature Plants, 10(3), 412–421. https://www.nature.com/articles/s41477-025-02024-7
Li, X., Zhao, M., & Wang, H. (2025). Responses of photosynthetic processes to drought stress in plants. Science China Life Sciences, 68(2), 189–201. https://link.springer.com/article/10.1007/s11427-023-2475-9
Liu, Y., Zhang, Y., & Wu, J. (2024). Soil moisture and vapor pressure deficit interactions shape vegetation drought stress. Agricultural and Forest Meteorology, 345, 109876.
https://www.sciencedirect.com/science/article/pii/S016819232400306X
Madadgar, S., et al. (2025). Increasing compound drought and heatwave events impact global vegetation productivity. Global and Planetary Change, 235, 104567. https://www.sciencedirect.com/science/article/pii/S0341816225003108
Sharanyan, J. S. (2023). Smart Plant Monitor. GitHub repository. https://github.com/sharanyanjs/Smart-Plant-Monitor-
Wilson, E. (2024). Smart Plant Monitoring System Using IoT. Hackster.io. https://www.hackster.io/ew685283/smart-plant-monitoring-system-using-iot-816c60
IoTCloudPlatform. (2025). IoT-driven smart farming technology for real-time soil and crop optimization. IoT Cloud Blog. https://blog.iotcloudplatform.com/iot-driven-smart-farming-technology-for-real-time-soil-and-crop-optimization/
KaaIoT. (2024). Smart farming IoT solution dashboards. https://www.kaaiot.com/iot-dashboards/smart-farming-iot-solution
Future Internet Journal. (2023). GreenLab
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Copyright (c) 2026 Afifah Khairinniswah Tanjung, Muhammad Radhi Mudzakkir, Bukhari Farasdi Harahap, Rafa Ruzain Ahmad, Fathiyah Nurul Azizah Sinuhaji, Sandria Shelba Yafizham Harahap
This work is licensed under a Creative Commons Attribution 4.0 International License.
