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Design and implementation of internet of things (IoT) based scheme for testing loamy soil

Year 2025, Volume: 9 Issue: 2, 323 - 333
https://doi.org/10.31127/tuje.1553534

Abstract

Soil plays a vital role in crop production. It is therefore essential for farmers to have handy information on the quality of the soil to be cultivated. In Nigeria and many third world countries, traditional method that is based on subjective evaluation is used, where farmers utilize their past experience to adjudge the quality of the soil. This approach is ineffective and time consuming. This work presents Internet of Things (IoT) based scheme that provides farmers with real time data or information on the quality of the soil. The scheme includes IoT device that consists of NPK sensor, Dallas temperature sensor, NodeMCU (ESP8266) and capacitive soil sensor which are utilized to collect data on nutrient, moisture and temperature of the soil. These data are sent to a mobile application that is developed using DART programming language and Hyper Text Markup Language (HTML). The performance of the IoT scheme is assessed through field experiment where loamy soil samples taken from Agricultural Engineering garden, Electrical Engineering garden and open football school field of College of Engineering and Environmental Studies, Olabisi Onabanjo University, Ibogun, Ogun State are used as candidates for testing. The results of the experiment reveal that the soil sample taken from Agricultural Engineering garden retains water (80%) better than other soil samples and has the highest mineral (Nitrogen, 39mg/Kg and Phosphorous, 16mg/Kg) composition. Its potassium content (14mg/Kg) is however at par with sample taken from the school field. In addition, it is observed that soil sample from the school field has higher temperature (26.63 oC) than others. It is seen that the IoT scheme functions satisfactorily and demonstrates ability to test soil in a bid to help farmers in making right decision concerning optimal application of fertilizer for higher agricultural output.

Ethical Statement

The authors declare no conflict of interest

Supporting Institution

The authors receive no funding for the research from any known funding organization

References

  • Pandao, M.R., Thakare, A.A., Choudhari, R.J., Navghare, N.R., Sirsat, D.D. & Rathod, S.R. (2024). Soil health and nutrient management. International Journal of Plant and Soil Science, 36(5), 873-883.
  • Olivares, B.B., Araya, M.A., Rey, J.C., Salnas, P.C., Kurina, F.G., Balzarini, M., Lobo, D., Navas-Cortes, J.A.,Landa, B.B., & Gomez, J.A. (2020). Relationship between soil properties and Banana productivity in the two main cultivation areas in Venezuala. Journal of Soil Science and Plant Nutrition, 20, 2512-2524.
  • Islam, M-R., Oluliah, K., Ksbit, M-M., Alom, M., & Mridha, M.F. (2023). Machine Learning enabled IoT system for soil monitoring and crop recommendation. Journal of Agriculture and Food Research, 14, 1-12.
  • Mohammad Shamiur, R-A., Arnab, P.S., Tsou, J.C., Rahman, H. (2021). IoT based soil monitoring and automatic irrigation system in rural area of Bangladesh. Acta Mechatronica-International Scientific Journal about Mechatronics, 6(3), 29-40.
  • Pizol, N.S., Adnan, R. ,& Tajjudin, M. (2020). Design of an Internet of Things (IoT) based smart irrigation and fertilizer system using fuzzy logic for Chilli plant. In Proceedings of 2020 International Conference on Automatic Control and Intelligent Systems, 69-73.
  • Pyingkodi, M., Thenmozhi, K., Karthikeyan, M., Kalpana, T., Palarimath, S., & Ajith Kumar, G.B. (2022). IoT based soil nutrients analysis and monitoring system for smart Agriculture. In Proceedings of the Third International Conference on Electronics and Sustainable Communications Systems (ICESC 2022), 459-494.
  • Nisar, A., Ali, H., Ihsan, U., & Bizzart, H. (2019). IoT based wireless sensor network for precision agriculture. In Proceeding of 2019 7th International Electrical Engineering Congress (iEECON). https://doi.org.10.1109/iEECON45304.2019.8938854.
  • Sakpale, M-S., & Patil, R. (2019). Soil monitoring using IoT technology. CIKITUS Journal for Multidisciplinary Research, 6 (5), 457–461.
  • Bhaskar, C.V., Lakshmipriya, A., Hemapriya, K., HemanthKumar, A., & Kireeti, V.T. (2022). Soil Moisture Detection and Monitoring through IoT, Journal of Electronics and Communication Engineering Research, 8 (4), 10-13.
  • Dahou Idrissi, A., Abouabdillah, A., Chikhaoui, M., & Bouabid, R. (2024). Low cost IoT based monitoring system for precision Agriculture. In Proceedings of E3S Web of Conferences, 492, 1-9.
  • Debashi, M-S., & Rehana, K. (2022). Smart monitoring of soil parameters based on IoT. International Journal of Advanced Technology and Engineering Innovation, 9 (88), 401-412.
  • Laha, S-R., Pattanayk, B-K., Pattnaik, S., Mishra, D., KumarNayak, D-S. & Dash, B-B. (2023). An IoT based soil moisture management system for precision agriculture: real –time monitoring and automated irrigation control. In Proceedings of the Fourth International Conference on Smart Electronics and Communication, 451-455
  • Ananthi, N., Diyya, J., Diyyya, M., & Janani, V. (2017). IoT based smart soil monitoring for agricultural production. In Proceedings of IEEE International Conference on Technological Innovations in ICT for Agriculture and Rural Development, 209-214.
  • Sathishkumar, R. & Rathinavel, S. (2024). Harvesting precision: A holistic approach to sustainable Agriculture through advanced water management and crop health optimization. International Journal of Progressive Research in Engineering Management and Sciences, 4(3), 882-900.
  • Muthukumarasamy, S., Balakrishnan, C., Anusha, P., & Neena, S. (2022). A sensor-based IoT for precision Agriculture. International Journal of Creative Research Thoughts (IJCRT), 10 (6), 15-20.
  • Odey, J.O., Anunuso, J.C., Alkali, B., Agonga, F.O., & Lawal, S.S. (2021). Soil monitoring and irrigation system. In Proceedings of 6th National Engineering Conference of the Nigerian Institution of Mechanical Engineers, Minna Chapter, 151-165.
  • Placidi, P., Morbidelli, R., Fortunati, D., Papini, N., & Gobbi, F. (2021). Monitoring soil and ambient parameters in the IoT precision Agriculture scenario: an original modelling approach dedicated to low-cost soil water content. Sensor Journal, 21 (5110), 1-28. https://doi.org.10.3390/s21155110.
  • Rifat, A., Prince Patel, & Baba, B.S. (2022). The Internet of Things (IoT) in Agriculture monitoring. European Journal of Information Technologies and Computer Science, 2 (1), 14-18.
  • Muthmanah, M., Mulyadi, M.F., Agusmulyono, I.T., Tazi, I., Mulyono, A., Hananto, F.S., Chamidah, N., & Kusari (2024). Development of an automated monitoring system for soil moisture and temperature in smart Agriculture to enhance Lettuce farming productivity based on IoT. Multidisciplinary Science Journal, 6, 1-7.
  • Nugroho, A.P., Kusumawati, N.B., Murtiningrum Wiratmoko, A., Haryadi, I.M., Pradana, Suwardi, F.A., Sukarman, S., Primandanda, & Sutiarso, L. (2023). Development of soil moisture content monitoring system for precision measurement of soil moisture in sub-optimal land for palm oil plantation. In Proceedings of BIO Web Conference, 69, 1-10.
  • Wu, Y., Yang, Z., & Liu, Y. (2023). Internet of things based multiple sensor monitoring system for soil information diagnosis using a smart phone. Micromachines, 14 (1395), 1-20. https://doi.org/10.3390/mi14071395
  • Adamchuk, V.I., Hummel, J.W., Morgan, M.T., & Upadhayaya, S.K. (2004). On the-go soil sensors for precision Agriculture. Computing and Electronics in Agriculture, 44, 71-91.
  • Hyder, U., & Talpur, M.R.H. (2024). Detection of cotton leaf disease with machine learning model. Turkish Journal of Engineering, 8(2), 380-393.
  • Othman, M.N(2023). Modelling of daily ground water level using deep learnign neutral network. Turkish Journal of Engineering, 7(4), 331-337.
  • Pomeroy, S.L., Tamayo, P., Gaasenbeek, M., Sturla, L.M., & Angelo, M. (2002). Prediction of central nervous system embryonal tumor outcome based on gene expression. Letter to Nature, 436-442
  • Othaman, N.N.C., M.D. Isa, M.N., Hussin, R., Zakaria, S.M.M.S., & Isa, M.M. (2021). IoT based soil nutrient sensing system for Agriculture applications. International Journal of Nanoelectronics and Materials, 14, 279-288.
  • Bondre, D.A., & Mahagaonkar (2019). Prediction of crop yield and fertilizer recommendation using machine learning algorithm. International Journal of Engineering Applied Sciences and Technology, 5(5),371-376.
  • Babashli, B., Badalova, A., Shukurov, R., & Ahmadov, A. (2024). Cotton yield estimation using several vegetable indices. Turkish Journal of Engineering, 8(1), 139-151.
  • Karakurt A.B., & Ertugruk, O.L. (2023). Effect of rish husk ash addition on the consolidation characteristics of cohesive soils. Engineering Applications, 2(1), 7-15.
  • Karakurt A.B., & Ertugruk, O.L. (2023). A laboratory study on the liquid limits of cohesive soils improved with rice hush ash. Advanced Engineering Science, 3, 8-14.
  • Abdul Mohammed, M., & Abdu Yusif, S. (2020). Evaluation of soil fertility for maize (MUZEA MAYSL) production in Dawakin Kudu, Kano, Nigeria. FUDMA Journal Series, 4(1), 617-622.
  • Ubwa, S.T., Anhwange, B.A., Igbum, G.O., & Asemave, K. (2012). Contents of nutrient in soil form selected parts in Nigeria. International Journal of Modern Chemistry, 1(1), 36-44.
  • Silva, J.A. & Uchida, R. (2000). Essential nutrient for plant growth: Nutrirent functions and deficiency symptoms. In plant Nutrient management in Hawaii soils, approaches for tropical and subtropical Agriculture. In College of Tropical Agriculture and Human resources, University of Hawaii ed., 31-39.
Year 2025, Volume: 9 Issue: 2, 323 - 333
https://doi.org/10.31127/tuje.1553534

Abstract

References

  • Pandao, M.R., Thakare, A.A., Choudhari, R.J., Navghare, N.R., Sirsat, D.D. & Rathod, S.R. (2024). Soil health and nutrient management. International Journal of Plant and Soil Science, 36(5), 873-883.
  • Olivares, B.B., Araya, M.A., Rey, J.C., Salnas, P.C., Kurina, F.G., Balzarini, M., Lobo, D., Navas-Cortes, J.A.,Landa, B.B., & Gomez, J.A. (2020). Relationship between soil properties and Banana productivity in the two main cultivation areas in Venezuala. Journal of Soil Science and Plant Nutrition, 20, 2512-2524.
  • Islam, M-R., Oluliah, K., Ksbit, M-M., Alom, M., & Mridha, M.F. (2023). Machine Learning enabled IoT system for soil monitoring and crop recommendation. Journal of Agriculture and Food Research, 14, 1-12.
  • Mohammad Shamiur, R-A., Arnab, P.S., Tsou, J.C., Rahman, H. (2021). IoT based soil monitoring and automatic irrigation system in rural area of Bangladesh. Acta Mechatronica-International Scientific Journal about Mechatronics, 6(3), 29-40.
  • Pizol, N.S., Adnan, R. ,& Tajjudin, M. (2020). Design of an Internet of Things (IoT) based smart irrigation and fertilizer system using fuzzy logic for Chilli plant. In Proceedings of 2020 International Conference on Automatic Control and Intelligent Systems, 69-73.
  • Pyingkodi, M., Thenmozhi, K., Karthikeyan, M., Kalpana, T., Palarimath, S., & Ajith Kumar, G.B. (2022). IoT based soil nutrients analysis and monitoring system for smart Agriculture. In Proceedings of the Third International Conference on Electronics and Sustainable Communications Systems (ICESC 2022), 459-494.
  • Nisar, A., Ali, H., Ihsan, U., & Bizzart, H. (2019). IoT based wireless sensor network for precision agriculture. In Proceeding of 2019 7th International Electrical Engineering Congress (iEECON). https://doi.org.10.1109/iEECON45304.2019.8938854.
  • Sakpale, M-S., & Patil, R. (2019). Soil monitoring using IoT technology. CIKITUS Journal for Multidisciplinary Research, 6 (5), 457–461.
  • Bhaskar, C.V., Lakshmipriya, A., Hemapriya, K., HemanthKumar, A., & Kireeti, V.T. (2022). Soil Moisture Detection and Monitoring through IoT, Journal of Electronics and Communication Engineering Research, 8 (4), 10-13.
  • Dahou Idrissi, A., Abouabdillah, A., Chikhaoui, M., & Bouabid, R. (2024). Low cost IoT based monitoring system for precision Agriculture. In Proceedings of E3S Web of Conferences, 492, 1-9.
  • Debashi, M-S., & Rehana, K. (2022). Smart monitoring of soil parameters based on IoT. International Journal of Advanced Technology and Engineering Innovation, 9 (88), 401-412.
  • Laha, S-R., Pattanayk, B-K., Pattnaik, S., Mishra, D., KumarNayak, D-S. & Dash, B-B. (2023). An IoT based soil moisture management system for precision agriculture: real –time monitoring and automated irrigation control. In Proceedings of the Fourth International Conference on Smart Electronics and Communication, 451-455
  • Ananthi, N., Diyya, J., Diyyya, M., & Janani, V. (2017). IoT based smart soil monitoring for agricultural production. In Proceedings of IEEE International Conference on Technological Innovations in ICT for Agriculture and Rural Development, 209-214.
  • Sathishkumar, R. & Rathinavel, S. (2024). Harvesting precision: A holistic approach to sustainable Agriculture through advanced water management and crop health optimization. International Journal of Progressive Research in Engineering Management and Sciences, 4(3), 882-900.
  • Muthukumarasamy, S., Balakrishnan, C., Anusha, P., & Neena, S. (2022). A sensor-based IoT for precision Agriculture. International Journal of Creative Research Thoughts (IJCRT), 10 (6), 15-20.
  • Odey, J.O., Anunuso, J.C., Alkali, B., Agonga, F.O., & Lawal, S.S. (2021). Soil monitoring and irrigation system. In Proceedings of 6th National Engineering Conference of the Nigerian Institution of Mechanical Engineers, Minna Chapter, 151-165.
  • Placidi, P., Morbidelli, R., Fortunati, D., Papini, N., & Gobbi, F. (2021). Monitoring soil and ambient parameters in the IoT precision Agriculture scenario: an original modelling approach dedicated to low-cost soil water content. Sensor Journal, 21 (5110), 1-28. https://doi.org.10.3390/s21155110.
  • Rifat, A., Prince Patel, & Baba, B.S. (2022). The Internet of Things (IoT) in Agriculture monitoring. European Journal of Information Technologies and Computer Science, 2 (1), 14-18.
  • Muthmanah, M., Mulyadi, M.F., Agusmulyono, I.T., Tazi, I., Mulyono, A., Hananto, F.S., Chamidah, N., & Kusari (2024). Development of an automated monitoring system for soil moisture and temperature in smart Agriculture to enhance Lettuce farming productivity based on IoT. Multidisciplinary Science Journal, 6, 1-7.
  • Nugroho, A.P., Kusumawati, N.B., Murtiningrum Wiratmoko, A., Haryadi, I.M., Pradana, Suwardi, F.A., Sukarman, S., Primandanda, & Sutiarso, L. (2023). Development of soil moisture content monitoring system for precision measurement of soil moisture in sub-optimal land for palm oil plantation. In Proceedings of BIO Web Conference, 69, 1-10.
  • Wu, Y., Yang, Z., & Liu, Y. (2023). Internet of things based multiple sensor monitoring system for soil information diagnosis using a smart phone. Micromachines, 14 (1395), 1-20. https://doi.org/10.3390/mi14071395
  • Adamchuk, V.I., Hummel, J.W., Morgan, M.T., & Upadhayaya, S.K. (2004). On the-go soil sensors for precision Agriculture. Computing and Electronics in Agriculture, 44, 71-91.
  • Hyder, U., & Talpur, M.R.H. (2024). Detection of cotton leaf disease with machine learning model. Turkish Journal of Engineering, 8(2), 380-393.
  • Othman, M.N(2023). Modelling of daily ground water level using deep learnign neutral network. Turkish Journal of Engineering, 7(4), 331-337.
  • Pomeroy, S.L., Tamayo, P., Gaasenbeek, M., Sturla, L.M., & Angelo, M. (2002). Prediction of central nervous system embryonal tumor outcome based on gene expression. Letter to Nature, 436-442
  • Othaman, N.N.C., M.D. Isa, M.N., Hussin, R., Zakaria, S.M.M.S., & Isa, M.M. (2021). IoT based soil nutrient sensing system for Agriculture applications. International Journal of Nanoelectronics and Materials, 14, 279-288.
  • Bondre, D.A., & Mahagaonkar (2019). Prediction of crop yield and fertilizer recommendation using machine learning algorithm. International Journal of Engineering Applied Sciences and Technology, 5(5),371-376.
  • Babashli, B., Badalova, A., Shukurov, R., & Ahmadov, A. (2024). Cotton yield estimation using several vegetable indices. Turkish Journal of Engineering, 8(1), 139-151.
  • Karakurt A.B., & Ertugruk, O.L. (2023). Effect of rish husk ash addition on the consolidation characteristics of cohesive soils. Engineering Applications, 2(1), 7-15.
  • Karakurt A.B., & Ertugruk, O.L. (2023). A laboratory study on the liquid limits of cohesive soils improved with rice hush ash. Advanced Engineering Science, 3, 8-14.
  • Abdul Mohammed, M., & Abdu Yusif, S. (2020). Evaluation of soil fertility for maize (MUZEA MAYSL) production in Dawakin Kudu, Kano, Nigeria. FUDMA Journal Series, 4(1), 617-622.
  • Ubwa, S.T., Anhwange, B.A., Igbum, G.O., & Asemave, K. (2012). Contents of nutrient in soil form selected parts in Nigeria. International Journal of Modern Chemistry, 1(1), 36-44.
  • Silva, J.A. & Uchida, R. (2000). Essential nutrient for plant growth: Nutrirent functions and deficiency symptoms. In plant Nutrient management in Hawaii soils, approaches for tropical and subtropical Agriculture. In College of Tropical Agriculture and Human resources, University of Hawaii ed., 31-39.
There are 33 citations in total.

Details

Primary Language English
Subjects Circuits and Systems, Electrical Circuits and Systems
Journal Section Articles
Authors

Akeem Raji 0000-0003-4303-4940

Joseph Orimolade 0000-0002-7655-3651

Ibrahim Ewetola 0000-0002-5215-6416

Early Pub Date January 19, 2025
Publication Date
Submission Date September 20, 2024
Acceptance Date November 30, 2024
Published in Issue Year 2025 Volume: 9 Issue: 2

Cite

APA Raji, A., Orimolade, J., & Ewetola, I. (n.d.). Design and implementation of internet of things (IoT) based scheme for testing loamy soil. Turkish Journal of Engineering, 9(2), 323-333. https://doi.org/10.31127/tuje.1553534
AMA Raji A, Orimolade J, Ewetola I. Design and implementation of internet of things (IoT) based scheme for testing loamy soil. TUJE. 9(2):323-333. doi:10.31127/tuje.1553534
Chicago Raji, Akeem, Joseph Orimolade, and Ibrahim Ewetola. “Design and Implementation of Internet of Things (IoT) Based Scheme for Testing Loamy Soil”. Turkish Journal of Engineering 9, no. 2 n.d.: 323-33. https://doi.org/10.31127/tuje.1553534.
EndNote Raji A, Orimolade J, Ewetola I Design and implementation of internet of things (IoT) based scheme for testing loamy soil. Turkish Journal of Engineering 9 2 323–333.
IEEE A. Raji, J. Orimolade, and I. Ewetola, “Design and implementation of internet of things (IoT) based scheme for testing loamy soil”, TUJE, vol. 9, no. 2, pp. 323–333, doi: 10.31127/tuje.1553534.
ISNAD Raji, Akeem et al. “Design and Implementation of Internet of Things (IoT) Based Scheme for Testing Loamy Soil”. Turkish Journal of Engineering 9/2 (n.d.), 323-333. https://doi.org/10.31127/tuje.1553534.
JAMA Raji A, Orimolade J, Ewetola I. Design and implementation of internet of things (IoT) based scheme for testing loamy soil. TUJE.;9:323–333.
MLA Raji, Akeem et al. “Design and Implementation of Internet of Things (IoT) Based Scheme for Testing Loamy Soil”. Turkish Journal of Engineering, vol. 9, no. 2, pp. 323-3, doi:10.31127/tuje.1553534.
Vancouver Raji A, Orimolade J, Ewetola I. Design and implementation of internet of things (IoT) based scheme for testing loamy soil. TUJE. 9(2):323-3.
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