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
- Naresh Vyas, Bhagirath Choudhary, Manu Purohit, Taxonomical Description of One Species of Soil Nematode Fauna in Bilara , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- V Vijayaraj, M. Balamurugan, Monisha Oberai, Machine learning approaches to identify the data types in big data environment: An overview , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- K. Gokulkannan, M. Parthiban, Jayanthi S, Manoj Kumar T, Cost effective cloud-based data storage scheme with enhanced privacy preserving principles , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Suresh Kumar, AGRO-WASTE MANAGEMNT BY VERMICOMPOSTING USING EISENIA FETIDA AND PERIONYX SANSIBARICUS EARTHWORMS , The Scientific Temper: Vol. 9 No. 1&2 (2018): The Scientific Temper
- Ekhlaque Ahmad Khan, Sudha Yadav, The multifaceted potential of fennel: From antioxidant to biostimulants , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
- Rupesh Mandal, Bobby Sharma, Dibyajyoti Chutia , Smart flood monitoring in Guwahati city: A LoRa-based AIoT and edge computing sensor framework , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- A. Rukmani, C. Jayanthi, Trust and security in wireless sensor networks: A literature review of approaches for malicious node detection , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Abbasova Sona Jamal, Aliyev Sabit Shakir, Mahmudov Elmir Heydar, Museyibli Emin Bakir, Nadirkhanova Dilshat Adalat, Econometric analysis of grain yields (using the example of the Republic of Azerbaijan) , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- Aditi Sahariya, Chellapilla Bharadwaj, Iwuala Emmanuel, Afroz Alam, Phytochemical Profiling and GCMS Analysis of Two Different Varieties of Barley (Hordeum vulgare L.) Under Fluoride Stress , The Scientific Temper: Vol. 12 No. 1&2 (2021): The Scientific Temper
- Shantanu Kanade, Anuradha Kanade, Secure degree attestation and traceability verification based on zero trust using QP-DSA and RD-ECC , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
<< < 3 4 5 6 7 8 9 10 11 12 > >>
You may also start an advanced similarity search for this article.

