Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{210643,
author = {R.Rajeswari and Dr.V.Saravanan},
title = {A Comprehensive Survey on IoT and Wireless Sensor Network-Based Smart Farming Systems for Crop Yield Enhancement},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {13},
number = {6},
pages = {1748-1758},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=210643},
abstract = {Wireless Sensor Network (WSN) comprises the number of sensor nodes deployed across agricultural fields to continuously monitor the environmental and soil parameters. Sensors are limited by node energy, link variability and latency needs. The sensor nodes communicate the data points to the base station for storage and analysis. Internet of Things (IoT) provides seamless connectivity between sensors, communication devices, base station and end users for continuous monitoring and decision-making. IoT-enabled sensor network combines the smart sensors, wireless communication technology and intelligent learning to continuously monitor the agricultural fields and increased the crop productivity. Many researchers carried out their research on IoT-enabled sensor network-based crop yield prediction. But, the energy efficiency and network lifetime during data transmission was not enhanced by existing techniques. In order to address the existing issues, different architecture and network protocols of wireless sensor network is discussed for efficient crop yield prediction performance enhancement.},
keywords = {wireless sensor network, intelligent learning, decision-making, seamless connectivity, base station, continuous monitoring},
month = {November},
}
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