DETECTION OF SOIL WATER CONTENT IN TEA (Camellia sinensis) PLANTATION THROUGH SPATIAL ANALYSIS USING AGRIRADAR TECHNOLOGY IN BOGOR, WEST JAVA

Elia Laila Rizqiyah; Restu Wulansari

doi:10.15575/gdcs.v66i.3407

Authors

Elia Laila Rizqiyah PT. Riset Perkebunan Nusantara, Indonesia
Restu Wulansari PT. Riset Perkebunan Nusantara, Indonesia

DOI:

https://doi.org/10.15575/gdcs.v66i.3407

Keywords:

Plantation, Precision, Radar, Tea, Water

Abstract

Soil water content is a critical parameter for plants that influence nutrient absorption, plant growth, and plant metabolism. In tea (Camellia sinensis), soil water content must be monitored regularly. This study aims to develop a rapid and spatially approach to detect soil water content using Agriradar technology. The agriradar technology integrates radar sensing and multispectral imaging in the aerial vehicle (UAV) to generate spatial data across plantation areas. This device is able to detect soil water content so that spatial-based data is obtained from the area passed by the drone. Experiments were carried out by taking a case studies on tea plantations. This research was conducted from January-May 2025 in tea plantations located in Bogor, West Java, Indonesia. The results of this study indicate that soil water levels ranged from 22% to 25%, which is below the optimal limit of 30% required for optimal tea growth. Furthermore, soil water content below 10% are associated with inhibited shoot development and increased risk of plant mortality. The integration of Agriradar technology into precision agriculture practices can support cultivation management and improve fresh yield of the tea plantation.

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Author Biographies

Elia Laila Rizqiyah, PT. Riset Perkebunan Nusantara

Indonesia Research Institute for Tea and Cinchona

Restu Wulansari, PT. Riset Perkebunan Nusantara

Indonesia Research Institute for Tea and Cinchona

References

Abdallah, A. M., Jat, H. S., Choudhary, M., Abdelaty, E. F., Sharma, P. C., & Jat, M. L. (2021). Conservation Agriculture Effects on Soil Water Holding Capacity and Water-Saving Varied with Management Practices and Agroecological Conditions: A Review. Agronomy, 11(9), 1681. https://doi.org/10.3390/agronomy11091681.

Andrew W. Western, Rodger B. Grayson, Günter Blöschl. (2002). Scaling of Soil Moisture: A Hydrologic Perspective. Annual Review Earth and Planetary Sciences. 30, 149-180. https://doi.org/10.1146/annurev.earth.30.091201.140434.

Arnáez, J., Lana-Renault, N., Lasanta, T., Ruiz-Flaño, P., & Castroviejo, J. (2015). Effects of farming terraces on hydrological and geomorphological processes: A review. Catena, 128, 122–134. https://doi.org/10.1016/j.catena.2015.01.021.

Eden, M., Gerke, H.H. & Houot, S. (2017). Organic waste recycling in agriculture and related effects on soil water retention and plant available water: a review. Agron. Sustain. Dev. 37, 11 https://doi.org/10.1007/s13593-017-0419-9.

Guo, X., Zhao, Y., Yan, X., Wang, P., Zhang, L., Wang, X., & Ahmad, S. (2017). Identification of drought-responsive miRNAs and physiological characterization of tea plant (Camellia sinensis L.) under drought stress. BMC Plant Biology, 17, 211. https://doi.org/10.1186/s12870-017-1172-6.

Hu, Y., Tang, C., Chen, X., Zhao, Y., He, H., Li, M., & Zhang, J. (2023). Spatiotemporal variability of soil water content and its influencing factors on a microscale slope. Agronomy, 13(8), 2035.

Ladányi, Z., Barta, K., Blanka, V., Ladányi, M., Rakonczai, J., & Mezosi, G. (2021). Assessing available water content of sandy soils to support drought monitoring and agricultural water management. Water Resources Management, 35(3), 869–880. https://doi.org/10.1007/s11269-020-02747-6.

Morris, J. (2023). Regulation of growth and development of Camellia sinensis (tea plant) under abiotic and biotic stress. Journal of Biotechnology and Phytochemistry, 7(3), 1–2. https://doi.org/10.35841/aajbp-7.3.148.

Mwesige FF, Massawe BHJ, Sanga HG and Mjanja BE (2026) A systematic review on criteria for land suitability assessment for tea cultivation. Front. Agron. 8:1819514. doi: 10.3389/fagro.2026.1819514.

Pramudita, A. A., et al. (2022). Soil water content estimation with the presence of vegetation using ultra wideband radar-drone. IEEE Access, 10, 85213–85227. https://doi.org/10.1109/ACCESS.2022.3197636.

Ramos, T.B., Darouich, H. & Pereira, L.S. (2024). Mulching effects on soil evaporation, crop evapotranspiration and crop coefficients: a review aimed at improved irrigation management. Irrig Sci 42, 525–539. https://doi.org/10.1007/s00271-024-00924-8.

Rasheed, M. W., Tang, J., Sarwar, A., Shah, S., Saddique, N., Khan, M. U., Imran Khan, M., Nawaz, S., Shamshiri, R. R., Aziz, M., & Sultan, M. (2022). Soil Moisture Measuring Techniques and Factors Affecting the Moisture Dynamics: A Comprehensive Review. Sustainability, 14(18), 11538. https://doi.org/10.3390/su141811538.

Rezamela, E. and Dalimoenthe. S. L. (2016). The influence of El-Nino on microclimate change and soil water content in Gambung tea plantation. Jurnal Sains Teh dan Kina, 19 (1), 15-26. https://doi.org/10.22302/pptk.jur.jptk.v19i1.63

Sukarman, Ritung, S., Anda, M., & Suryani, E. (2017). Pedoman pengamatan tanah di lapangan [Guidelines for field soil observation]. IAARD Press, Indonesian Agency for Agricultural Research and Development (IAARD), Ministry of Agriculture, Indonesia.

Wulansari, R., Athallah, F. N. F., & Pramudita, A. (2022). Effect of slope and year of pruning of tea plants on soil water content in Indonesian tea plantations. Soil Science Annual, 73(4), 1–7. https://doi.org/10.37501/soilsa/157103.

Yin D, Wang Y, Huang Y. Predicting soil moisture content of tea plantation using support vector machine optimized by arithmetic optimization algorithm. Journal of Algorithms & Computational Technology. 2023;17. doi:10.1177/17483026221151198.