Background: The weather, especially rainfall, has a major impact on agricultural production. Accurate and timely rainfall monitoring is crucial for efficient farm management. Farmers may make more informed decisions about crop protection, irrigation, and general land management with the aid of a sustainable rain alarm sensor. Rain sensors are gadgets made to recognize when there is rain or other precipitation and to initiate an action, such as setting off an alarm. The rain sensor project is a small model project used to sense rainfall, and it is used to inform by sounding an alarm to store rain water for irrigation.
Methods: Rain may be consistently and precisely detected using a variety of technologies and methods, including conductive, optical, capacitive, and auditory sensors. The flow study illustrates the procedures required to operate the coconut shell rain sensor. The coconut shell is used to characterize the rain sensor. When the rain sensor detects precipitation, the motor activates, and the surface water level is utilized to remove surplus runoff and rainfall water from the farmed land's surface. This allows rainwater to be stored for use in the circuit later on. If this is the case, it is used to gauge the quantity of water in the soil and is required to gauge the field's water level. The pump will start working, and the alarm will sound if there is an excess of water detected.
Results: Rainwater flow in the field might occur after a period of intense rain, which would impact crop development and yield. The issue here is that the sensor uses sound to signal rain in order to prevent erosion and excessive water overflow via the channel. The sensor is used to subtract rain based on time. With the aid of the Rain Alarm Sensor, this research offers a pump to release extra water through the appropriate route. The analysis conducted with this data demonstrates how the sensor functions as a flow chart study, and the comparison of various technologies reveals that, out of the three sensors we have put up for review, Sensor A (sensitivity at 0.1 mm/hr, A has the quickest reaction time, at 100 ms, Sensor A at 95%) is the top performer. Out of all of them, sensor A displays the finest performance.
Conclusion: This experiment may be used to find out what is more helpful to farmers when it rains. It is also extremely helpful to find out the field's surface water level in case any extra water runs off and lowers the water level in the cultivated region.
infiltration, growth, storing water level, rain sensor, solution
Besnoff, J. S., & Reynolds, M. S. (2015). Single-wire radio frequency transmission lines in biological tissue. Applied Physics Letters, 106(18).
Costabile, P., Cea, L., Barbaro, G., Costanzo, C., Llena, M., & Vericat, D. (2024). Evaluation of 2D hydrodynamic-based rainfall/runoff modelling for soil erosion assessment at a seasonal scale. Journal of Hydrology, 632, 130778.
Deekshath, R., Dharanya, P., Kabadia, M. K. D., Dinakaran, M. G. D., & Shanthini, S. (2018). IoT based environmental monitoring system using arduino UNO and thingspeak. International Journal of Science Technology & Engineering, 4(9), 68-75.
Dittmann, I., Maug, E., & Kemper, J. (2004). How fundamental are fundamental values? Valuation methods and their impact on the performance of German venture capitalists. European Financial Management, 10(4), 609-638.
Eisfeld, C., van Breukelen, B. M., Medema, G., van der Wolf, J. M., Velstra, J., & Schijven, J. F. (2023). QMRA of Ralstonia solanacearum in potato cultivation: Risks associated with irrigation water recycled through managed aquifer recharge. Science of the Total Environment, 901, 166181.
Green, P. A. (2010). Driver distraction/overload research and engineering: problems and solutions. SAE International Journal of Passenger Cars-Electronic and Electrical Systems, 3(2010-01-2331), 141-153.
Gunasekaran, K., Kumar, P. S., & Lakshmipathy, M. (2011). Mechanical and bond properties of coconut shell concrete. Construction and building materials, 25(1), 92-98.
Iyen, C., Ayomanor, B., Orume, A., Saleh, S., Jaafaru, S., & Akeredolu, B. J. (2020). Design and construction of a rain detector with an alarm system. FUW Trends in Science Technology Journal, 5(3), 686-690.
Kalbande, A. G., Golait, V. S., & Bhadange, S. V. (2017). Smart automation system using Arduino and rain drop sensor. International Journal of Innovative and Emerging Research in Engineering, 4(4), 97-102.
Kandalgaonkar, T. (2007). Lightning and Rainfall activity observed on 26 July 2005: An exceptionally heavy rainfall day over Mumbai and possibility of rain gush phenomenon. Journal of Atmospheric Electricity, 27(1), 9-18.
Kulbacki, M., Segen, J., Knieć, W., Klempous, R., Kluwak, K., Nikodem, J., ... & Serester, A. (2018, June). Survey of drones for agriculture automation from planting to harvest. In 2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES) (pp. 000353-000358). IEEE.
Latha, N. A., & Murthy, B. R. (2016). GSM based rain fall detector using Arduino. International Journal of Electronics and Communication Engineering (IJECE).
Lv, L. Y., Cao, C. F., Qu, Y. X., Zhang, G. D., Zhao, L., Cao, K., ... & Tang, L. C. (2022). Smart fire-warning materials and sensors: Design principle, performances, and applications. Materials Science and Engineering: R: Reports, 150, 100690.
Nethmini, K. K. H., Jayatilake, N. T., & Weerawardane, T. (2021). A review for a system to detect and notify phishing attacks in mobile phones.
Roy, K., Chaudhuri, S. S., Bhattacharjee, S., Manna, S., & Chakraborty, T. (2019, March). Segmentation techniques for rotten fruit detection. In 2019 International Conference on Opto-Electronics and Applied Optics (Optronix) (pp. 1-4). IEEE.
Srikanth, T., Dhanalakshmi, B., Amuktha, D., Manikanta, J., Ramalokeswar, T., & Nagaphanindhra, P. (2022). Portable rain water detecting alarm using ic 555 timer. South Asian Journal of Engineering and Technology, 12(2), 23-26.
Swain, D. L., Singh, D., Touma, D., & Diffenbaugh, N. S. (2020). Attributing extreme events to climate change: A new frontier in a warming world. One Earth, 2(6), 522-527.
Taufiqurrohman, A., & Simanjuntak, I. (2023). Design of Automatic Gate Rolling Door Control System Using Rain Drop Sensor. PROtek: Jurnal Ilmiah Teknik Elektro, 10(3), 137-143.
Tymochko, M. D., & Olikh, Y. M. (2007). АКУСТОЧУСТВИТЕЛЬНЫЙ СЕНСОР НА БАЗЕ ПОЛУПРОВОДНИКОВОГО ДАТЧИКА ХОЛЛА. Сенсорна електроніка і мікросистемні технології, 4(1), 44-49.
Venkatesha, R., Rao, A. B., & Kedare, S. B. (2020). Appropriate household point-of-use water purifier selection template considering a rural case study in western India. Applied Water Science, 10(5), 1-15.
Xia, P., Liu, F., Duan, Y., Hu, X., Lu, C., Xu, S., & Wang, C. (2023). Glass-compatible and self-powered temperature alarm system by temperature-responsive organic manganese halides via backward energy transfer process. Journal of Energy Chemistry, 78, 188-194.
Zheng, Z., Chen, Z., Wang, S., Wang, W., & Wang, H. (2023). Memory-efficient multi-scale residual dense network for single image rain removal. Computer Vision and Image Understanding, 235, 103766.
Zulkiflee, A. L. B., Sahadan, P. A. N. D. B., Rosmadi, N. F. B., & Ismail, M. F. B. (2022). Development of Rain Detector System Using ESP32 with Alarm and Blynk Application. Multidisciplinary Applied Research and Innovation, 3(1), 482-489.