A smart irrigation monitoring service using wireless sensor networks
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.4.44Keywords:
Smart irrigation, Soil moisture, Crop yields, IoT, Zigbee protocol.Dimensions Badge
Issue
Section
License
Copyright (c) 2023 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The present research uses wireless sensor networks (WSN) to create a smart watering system. The system’s ability to perform real-time monitoring and management of irrigation makes sure that crops get the right quantity of water depending on their unique needs. The suggested method boosts agricultural yields, decreases labor costs, and improves water usage efficiency. The system uses a field-deployed network of inexpensive wireless sensors to track the soil moisture levels in real time. The central controller utilizes the wirelessly sent sensor data to decide when and how much water should be applied to the crops. Utilizing wireless protocols like Zigbee, these nodes connect to a central gateway, where the data is processed and examined to establish the ideal watering needs for each crop. The technology is scalable and simple to install in larger agricultural fields. The study’s findings indicate that the system can boost crop yields by up to 30% while boosting water usage efficiency by up to 60%. Farmers may decrease their water use, save time and money, and enhance their profitability by adopting the smart irrigation monitoring service powered by WSN.Abstract
How to Cite
Downloads
Similar Articles
- B. R. Jaipal, Food and Feeding Ecology of Nilgai (Boselaphus tragocamelus) in the Thar Desert of Rajasthan, India , The Scientific Temper: Vol. 11 No. 1&2 (2020): The Scientific Temper
- Sudheer Choudari, K. Rajasekhar, Ch. Sudheer, Comparative study of the foundation model of a 220 kV transmission line tower with different footing steps - Finite element analysis , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Chinnadurai U, A. Vinayagam, Energy efficient routing with cluster approach in wireless networks – A literature review , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Rashmika Vaghela, Dileep Labana, Kirit Modi, Efficient I3D-VGG19-based architecture for human activity recognition , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Maya Kumari, Vikas Y Patade, Z Ahmad, INVOLVEMENT OF PLANT MICRORNAS IN ABIOTIC STRESS RESPONSES , The Scientific Temper: Vol. 1 No. 01 (2010): The Scientific Temper
- Sachi Kumari, Amrendra Kumar Jha, STUDY ON DIVERSITY OF RICE FIELD BLUE-GREEN ALGAE FROM RICE FIELD OF CHAPRA IN BIHAR , The Scientific Temper: Vol. 9 No. 1&2 (2018): The Scientific Temper
- Gomathi P, Deena Rose D, Sampath Kumar R, Sathya Priya M, Dinesh S, Ramarao M, Computer vision for unmanned aerial vehicles in agriculture: applications, challenges, and opportunities , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- A. Jafar Ali, G. Ravi, D.I. George Amalarethinam, AI-Integrated Swarm-Powered Self-Scheduling Routing for Heterogeneous Wireless Sensor Networks to Maximize Network Lifetime , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- Neetu Singh, Ravindra Kumar Singh, Acute Toxicity of Sumithion Insecticide on Freshwater Catfish, Clarias batrachus (Linnaeus, 1758) , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Mudassir Peeran A, A.R. Mohamed Shanavas, A Hybrid Post-Quantum Cryptography and Machine Learning and Framework for Intrusion Detection and Downgrade Attack Prevention throughout PQC Migration , The Scientific Temper: Vol. 17 No. 01 (2026): The Scientific Temper
<< < 9 10 11 12 13 14 15 16 17 > >>
You may also start an advanced similarity search for this article.

