Abstract
Internet of things has changed the way of working and monitoring things in different domain; through this paper; the internet of things is applied in agriculture for monitor the composition of soil parameters such as soil potential Hydrogen (pH), moisture, humidity and temperature. The proposed Smart Soil Monitoring Application (SSMA) collects accurate, reliable, timely data of soil status. Collected data play a big role in decision making for selecting the appropriate type of crops and the type and the quantity of required fertilizer for a particular soil in different areas in Rwanda. In this paper, data for soil compositions were collected by sensors and collected data are sent to microcontroller unit (nodeMCU) to be analyzed. The Smart Soil Monitoring Application system consists of a nodeMCU, Soil pH sensor for collecting pH data, moisture sensor to sense presense of water in soil and DHT11 for collecting data about humidity and temperature. Also, a ESP8266 WiFi module enables the system to send the sensed data to the cloud for storage and processing. A Processed data are displayed on dashboard (web based application) and accessed by farmers via an android application installed in their smart phone. The obtained preliminary results confirm the efficiency of the proposed SSMA for real-time monitoring soil parameters and thus contributing to the growth of farm production in Rwanda.
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References
IPAR Rwanda: Rwandan agriculture sector situational analysis. MINAGRI, Kigali (2018)
Murekezi, A., Kelly, V.: Fertilizer response and profitability in Rwanda. FSRP and FAO, Kigali (2000)
MINISTRY OF AGRICULTURE AND ANIMAL RESOURCES: Strategic plan for agriculture transformation 2018–24, MINAGRI, Kigali (2018)
Konstantinos, P.B., Liakos, G.: Machine learning in agriculture: a review. Sensors 18(10), 29 (2018)
Ayaz, M.: Internet-of-things (IoT)-based smart agriculture: toward making the fields talk. Research Challenges and Opportunities, p. 33 (2019)
Rwirahira, J.: Rwandan agriculture sector situational analysis, IPAR Rwanda, Kigali (2011)
Mekala, M.S.: Smart agriculture with IoT and cloud computing. In: International Conference on Microelectronic Device, Circuits and System (2017)
Mathew, S.: Monitoring and controlling of greenhouse using microcontroller,” International Journal of Pure and Applied Mathematics, vol. 118, no. 20, p. 6, (2018)
Fahim, Y.: IoT based Smart Farming System. CIT, KOKRAJHAR (2018)
Georgiera, T.: Design of sensor network for monitoring soil parameters. Agric. Life, Life Agric. 10(10), 7 (2016)
Kawitkar, R.S., Gondchawar, N.: IoT based smart agriculture. Int. J. Adv. Res. Comput. Commun. Eng. 5(6), 5 (2016)
Zografos, A.: Wireless Sensor-Based Agricultural Monitoring System. KTH Royal Institute of Technology, Stockholm (2014)
Balakrishna, K.: Real-Time Soil Monitoring System for the Application of Agriculture, vol. 6, no. 5, p. 7. Maharaja Research Foundation (2018)
Aderemi, A.A.: Design and Construction of a Microcontroller Based Automatic Irrigation System. In: World Congress on Engineering and Computer Science, San Francisco, USA (2015)
Patil, S.N., Jadhav, M.B.: Smart agriculture monitoring system using IOT. Int. J. Adv. Res. Comput. Commun. Eng. 8(4), 5 (2019)
Marwah, G.K.: Acquisition of soil pH parameter and data logging using PIC microcontroller. Int. J. Eng. Res. Technol. 3(9), 4 (2014)
Mali, P.M.: Microcontroller based soil parameter monitoring for automatic irrigation system. Int. J. Fut. Revol. Comput. Sci. Commun. Eng. 4(4), 3 (2018)
Aswathy, S., Manimegalai, S., Maria Rashmi Fernando, M., Frank Vijay, J.: Smart soil testing. Int. J. Innov. Res. Sci. Eng. Technol. 7(4), 4 (2018)
Vivekanandreddy, P., Reshmi, S.: IOT based soil nutrients detection system. Int. J. Res. Appl. Sci. Eng. Technol. 7(6), 5 (2019)
Abhishek, A.M., et al.: Soil Analysis Using IoT. K.J.Somaiya Institute Of Engineering I.T, Mumbai (2018)
Suma, N.: IOT based smart agriculture monitoring system. Int. J. Recent Innov. Trends. Comput. Commun. 5(2), 5 (2017)
Fenila Naomi, J.: A soil quality analysis and an efficient irrigation system using agro-sensors 8(5), 4 (2019)
McCauley, A.: Soil pH and organic matter. In Nutrient Management, p. 16. Montana State University, Bozeman (2017)
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Byiringiro, E., Ndashimye, E., Kabandana, I. (2021). Smart Soil Monitoring Application (Case Study: Rwanda). In: Arai, K. (eds) Advances in Information and Communication. FICC 2021. Advances in Intelligent Systems and Computing, vol 1363. Springer, Cham. https://doi.org/10.1007/978-3-030-73100-7_16
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DOI: https://doi.org/10.1007/978-3-030-73100-7_16
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