Crop Monitoring System with Water Moisture Levels Using Controller


Authors : Dr. Shatrughna Prasad Yadav; U. Naveen; P. Manisha; V. Sai Kumar

Volume/Issue : Volume 9 - 2024, Issue 4 - April


Google Scholar : https://tinyurl.com/yxvedm8x

Scribd : https://tinyurl.com/bdcrxcu8

DOI : https://doi.org/10.38124/ijisrt/IJISRT24APR863

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : This paper presents a Crop Monitoring System (CMS) designed to effectively manage crop water moisture levels through automated irrigation control. The system incorporates soil moisture sensors and environmental sensors for real-time data collection, which is then processed by a controller to determine optimal irrigation schedules and water application rates. By integrating predefined thresholds and algorithms, the controller ensures precise irrigation tailored to specific crop and soil conditions, thus preventing both under- watering and over-watering. Additionally, the CMS features wireless communication capabilities, enabling remote monitoring and adjustment of irrigation settings by farmers. This remote accessibility facilitates timely interventions and optimizations, even in the absence of farmers in the fields. Overall, the CMS enhances crop health, improves resource efficiency, and conserves water in agriculture. By leveraging advanced sensor technologies and intelligent control algorithms, this system offers a sustainable solution for precision agriculture, contributing to increased yields while minimizing water usage and environmental impact. This project intends to make farming as mechanized and labor-free as possible.

Keywords : Micro Controller, Water Moisture Levels, Sensor Network.

References :

  1. K R Sowmia, S Prithi, K Vijay, I Eugene Berna, B Bhuvaneswaran.Crop monitoring system with water moisture levels using controller.In 2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT). IEEE.
  2. Mr.Takkasila Akbar Saleem , Mr. K Sreenivasa Rao. Automatic crop monitoring using embedded system.In July -2017 International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056.
  3. Sanket Chalwadi, Sumit Patil, Sakshat Vacche. Automatic soil water monitoring system using moisture sensor with notification.In 03/March-2022  International Research Journal of Modernization in Engineering, Technology and Science [2576].
  4. N. Nishitha, R. Vasuda, M. Poojith and T. K. Ramesh. Irrigation Monitoring and Controlling System, 2020 International Conference on Communication and Signal Processing (ICCSP).
  5. Aziz OukairaORCID,Amrou Zyad Benelhaouare ,Emmanuel KengneORCID and Ahmed LakhssassiORCID. FPGA-Embedded Smart Monitoring System for Irrigation Decisions Based on Soil Moisture and Temperature Sensors.In 19 sep 2021 Computer Science, University of Quebec in Outaouais, Gatineau, QC J9A 1L8, Canada.
  6. Smith, A., Johnson, B., & Williams, C. (2019). "Development of a Precision Crop Water Management System Utilizing Soil Moisture Sensors and IoT Technology." Journal of Agricultural Science and Technology, 21(5), 1123-1137.
  7. Gupta, S., Kumar, A., & Mishra, S. K. (2020). "Design and Implementation of an Automated Crop Monitoring System Using IoT and Controller." International Journal of Agricultural and Biological Engineering, 13(5), 112-120.
  8. Zhang, J., Wang, H., & Zhao, J. (2017). "A Crop Water Requirement Calculation Method Based on Wireless Sensor Networks." Journal of Sensors, 2017, 1-10.
  9. Khan, A., & Imran, M. (2019). "An Intelligent Irrigation System Based on IoT and Machine Learning for Sustainable Agriculture." Computers and Electronics in Agriculture, 157, 218-227.
  10. Sahoo, A. K., Bhanja, U., & Dey, N. (2020). "Design and Implementation of a Smart Irrigation System Using IoT and Machine Learning Techniques." Journal of Ambient Intelligence and Humanized Computing, 11(6), 2445-2459.

This paper presents a Crop Monitoring System (CMS) designed to effectively manage crop water moisture levels through automated irrigation control. The system incorporates soil moisture sensors and environmental sensors for real-time data collection, which is then processed by a controller to determine optimal irrigation schedules and water application rates. By integrating predefined thresholds and algorithms, the controller ensures precise irrigation tailored to specific crop and soil conditions, thus preventing both under- watering and over-watering. Additionally, the CMS features wireless communication capabilities, enabling remote monitoring and adjustment of irrigation settings by farmers. This remote accessibility facilitates timely interventions and optimizations, even in the absence of farmers in the fields. Overall, the CMS enhances crop health, improves resource efficiency, and conserves water in agriculture. By leveraging advanced sensor technologies and intelligent control algorithms, this system offers a sustainable solution for precision agriculture, contributing to increased yields while minimizing water usage and environmental impact. This project intends to make farming as mechanized and labor-free as possible.

Keywords : Micro Controller, Water Moisture Levels, Sensor Network.

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