Real-Time Monitoring of Parameters Contributing to Soil Quality in Palm Oil Plantation

  • Beatrice Eugen Mayowela Mbeya University of Science and Technology
  • Juma Said Ally, PhD Mbeya University of Science and Technology
Keywords: Real-time Monitoring, Soil Quality, Sensor, Soil Parameter
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Soil sustains the life of both animals and plants in the world. Most agriculture activities are conducted in soil. Real-time soil parameter data were collected in three villages of Kyela district (Kisare, Lupaso, and Mabunga) lowland zones during the September 2023 dry season. Observed real-time parameters were soil pH, Electric conductivity, temperature, Nitrogen, Phosphorous, Potassium, and humidity. Soil sensor, multifunctional converter, solar panel, 4G WIFI, and cloud platform (USRIOT) were used. The result shows that nitrogen, potassium, phosphorus, pH, and Electric conductivity have a positive correlation with each other while demonstrating a negative correlation to pH and temperature. Although outliers were observed in real-time nitrogen, phosphorus, potassium, and electric conductivity datasets, they denote a wide variation of such parameters in selected villages. Furthermore, the selected study area demonstrates a relatively low amount of phosphorus compared to other macronutrients


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Ali, M. A., Dong, L., Dhau, J., Khosla, A., & Kaushik, A. (2020). Perspective—Electrochemical Sensors for Soil Quality Assessment. Journal of The Electrochemical Society, 167(3), 037550.

Almalki, F. A., Soufiene, B. O., Alsamhi, S. H., & Sakli, H. (2021). A low-cost platform for environmental smart farming monitoring systems based on IoT and UAVs. Sustainability (Switzerland), 13(11).

Angelopoulou, T., Tziolas, N., Balafoutis, A., Zalidis, G., & Bochtis, D. (2019). Remote sensing techniques for soil organic carbon estimation: A review. Remote Sensing, 11(6), 1–18.

Argento, F., Anken, T., Abt, F., Vogelsanger, E., Walter, A., & Liebisch, F. (2021). Site-specific nitrogen management in winter wheat supported by low-altitude remote sensing and soil data. Precision Agriculture, 22(2), 364–386.

Bagnall, D. K., Rieke, E. L., Morgan, C. L. S., Liptzin, D. L., Cappellazzi, S. B., & Honeycutt, C. W. (2023). A minimum suite of soil health indicators for North American agriculture. Soil Security, 10(August 2022), 100084.

Camberato, D. M., Lopez, R. G., & Mickelbart, M. V. (2001). Commercial Greenhouse and Nursery Production pH and Electrical Conductivity Measurements in Soilless Substrates. Figure 1.

Chukwu, E. D., Udoh, B. T., Afangide, A. I., & Osisi, A. F. (2023). Evaluation of soil quality under oil palm cultivation in a coastal plain sands area of Akwa Ibom State Nigeria. Soil Security, 10(December 2021), 100087.

Conductivity, S. E. (n.d.). Soil Quality Indicators.

Deng, F., Zuo, P., Wen, K., & Wu, X. (2020). Novel soil environment monitoring system based on RFID sensor and LoRa. Computers and Electronics in Agriculture, 169(September 2019), 105169.

Filgueiras, R., Almeida, T. S., Mantovani, E. C., Dias, S. H. B., Fernandes-Filho, E. I., da Cunha, F. F., & Venancio, L. P. (2020). Soil water content and actual evapotranspiration predictions using regression algorithms and remote sensing data. Agricultural Water Management, 241(June), 106346.

Funk, R. (1983). An Introduction to Soils. Arboriculture & Urban Forestry, 9(5), 124–127.

Gadde, S., S.Selvaraju, Karthika, E., & Mehta, R. (2022). Onion growth monitoring system using the Internet of Things and cloud. Agricultural and Biological Research, 38(3), 291–293.

Jamroen, C., Komkum, P., Fongkerd, C., & Krongpha, W. (2020). An intelligent irrigation scheduling system using a low-cost wireless sensor network toward sustainable and precision agriculture. IEEE Access, 8, 172756–172769.

Kumar, S., Kumar, N., & Saini, R. K. (2019). Energy-Saving Sensors for Precision Agriculture in Wireless Sensor Network: A Review. Proceedings - 2019 Women Institute of Technology Conference on Electrical and Computer Engineering, WITCON ECE 2019, 65– 70.

Lehmann, J., Bossio, D. A., Kögel-Knabner, I., & Rillig, M. C. (2020). The concept and future prospects of soil health. Nature Reviews Earth and Environment, 1(10), 544–553.

Lu, Y., Xu, K., Zhang, L., Deguchi, M., Shishido, H., Arie, T., Pan, R., Hayashi, A., Shen, L., Akita, S., & Takei, K. (2020). Multimodal Plant Healthcare Flexible Sensor System. ACS Nano, 14(9), 10966–10975.

Luo, W., Xu, X., Liu, W., Liu, M., Li, Z., Peng, T., Xu, C., Zhang, Y., & Zhang, R. (2019). UAV-based soil moisture remote sensing in a karst mountainous catchment. Catena, 174(March 2018), 478–489.

Madhumathi, R., Arumuganathan, T., & Shruthi, R. (2020). Soil NPK and Moisture analysis using Wireless Sensor Networks. 2020 11th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2020.

Misbah, K., Laamrani, A., Khechba, K., Dhiba, D., & Chehbouni, A. (2022). Multi-sensors remote sensing applications for assessing, monitoring, and mapping npk content in soil and crops in African agricultural land. In Remote Sensing (Vol. 14, Issue 1). MDPI.

Peng, J., Biswas, A., Jiang, Q., Zhao, R., Hu, J., Hu, B., & Shi, Z. (2019). Estimating soil salinity from remote sensing and terrain data in southern Xinjiang Province, China. Geoderma, 337(November 2017), 1309–1319.

Ramesh, M., & Rajeshkumar, L. (2021). 4 Technological Advances in Analysing of Soil Chemistry. In Applied Soil Chemistry.

Said Mohamed, E., Belal, A. A., Kotb Abd-Elmabod, S., El-Shirbeny, M. A., Gad, A., & Zahran, M. B. (2021). Smart farming for improving agricultural management. Egyptian Journal of Remote Sensing and Space Science, 24(3), 971–981.

Salam, A., Vuran, M. C., & Irmak, S. (2019). Di-Sense: In situ real-time permittivity estimation and soil moisture sensing using wireless underground communications. Computer Networks, 151, 31–41.

Sandeep, R. (2022). CropsIT- A Portable Soil Analysis and Crop Suggestion System. International Journal for Research in Applied Science and Engineering Technology, 10(1), 1448–1452.

Satriawan, H., Fuady, Z., & Fitri, R. (2021). Physical and chemical properties of oil palm land which overgrown with weeds at different plant ages. IOP Conference Series: Earth and Environmental Science, 749(1).

Sehrawat, D., & Gill, N. S. (2019). Smart sensors: Analysis of different types of IoT sensors. Proceedings of the International Conference on Trends in Electronics and Informatics, ICOEI 2019, Icoei, 523–528.

Smiti, A. (2020). A critical overview of outlier detection methods. Computer Science Review, 38, 100306.

Ullo, S. L., & Sinha, G. R. (2020). Advances in smart environment monitoring systems using iot and sensors. Sensors (Switzerland), 20(11).

United Republic of Tanzania. (2021). Report on the implementation of the Istanbul programme of action for LDCS for the decade 2011-2020. World Population Policies 2017, March, 420–421.

World Food and Agriculture – Statistical Yearbook 2022. (2022). FAO.

Yin, H., Cao, Y., Marelli, B., Zeng, X., Mason, A. J., & Cao, C. (2021). Soil Sensors and Plant Wearables for Smart and Precision Agriculture. Advanced Materials, 33(20), 1–24.

Zhang, Y., Sui, B., Shen, H., & Ouyang, L. (2019). Mapping stocks of soil total nitrogen using remote sensing data: A comparison of random forest models with different predictors. Computers and Electronics in Agriculture, 160(March), 23–30.

5 November, 2023
How to Cite
Mayowela, B., & Ally, J. (2023). Real-Time Monitoring of Parameters Contributing to Soil Quality in Palm Oil Plantation. East African Journal of Information Technology, 6(1), 231-242.