Preprint has been published in a journal as an article
Preprint / Version 1

Soil Ph and NPK Monitoring System for in Sugarcane Plants

Sistem Monitoring Kadar Ph dan NPK Tanah pada Tanaman Tebu

##article.authors##

DOI:

https://doi.org/10.21070/ups.8319

Keywords:

ESP32, Ph, NPK, Humidity, Internet Of things(Iot)

Abstract

Sugarcane is one of the main agricultural commodities in Indonesia. In the agricultural industry sector, soil nutrient content is an important factor in determining the success of a plant's fertility. The purpose of this study is to design an electronic device that can later function as a measuring tool to detect soil element levels before planting, using this NPK sensor, it will be able to measure the value of nitrogen (N), phosphorus (P), and potassium (K) which will be a benchmark for the quality of the high and low levels of soil nutrients. The research method used is Research and Development (R&D), because the goal of the final result of this study will produce a system design product. This design is a design from a trial research prototype to determine the results and performance of the design of a soil nutrient detector.

Downloads

Download data is not yet available.

References

M. R. Islam, K. Oliullah, M. M. Kabir, M. Alom, and M. F. Mridha, “Machine learning enabled IoT system for soil nutrients monitoring and crop recommendation,” J. Agric. Food Res., vol. 14, p. 100880, Dec. 2023, doi: 10.1016/j.jafr.2023.100880.

M. K. Senapaty, A. Ray, and N. Padhy, “IoT-Enabled Soil Nutrient Analysis and Crop Recommendation Model for Precision Agriculture,” Computers, vol. 12, no. 3, p. 61, Mar. 2023, doi: 10.3390/computers12030061.

P. Rajak, A. Ganguly, S. Adhikary, and S. Bhattacharya, “Internet of Things and smart sensors in agriculture: Scopes and challenges,” J. Agric. Food Res., vol. 14, p. 100776, Dec. 2023, doi: 10.1016/j.jafr.2023.100776.

R. P. Potdar, M. M. Shirolkar, A. J. Verma, P. S. More, and A. Kulkarni, “Determination of soil nutrients (NPK) using optical methods: a mini review,” J. Plant Nutr., vol. 44, no. 12, pp. 1826–1839, Jul. 2021, doi: 10.1080/01904167.2021.1884702.

I. Lionel, A. Ro’uf, and B. Alldino, “Analisis Spesifisitas Terhadap Sensor NPK,” IJEIS (Indonesian J. Electron. Instrum. Syst., vol. 13, no. 1, Apr. 2023, doi: 10.22146/ijeis.79672.

R. Madhumathi, T. Arumuganathan, and R. Shruthi, “Soil NPK and Moisture analysis using Wireless Sensor Networks,” in 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IEEE, Jul. 2020, pp. 1–6. doi: 10.1109/ICCCNT49239.2020.9225547.

M. S. Gozali et al., “Multimeter Portabel Pengukur Nutrisi Tanah Pertanian untuk Kelompok Tani Maju Mandiri di Pulau Setokok,” J. Pengabdi. Kpd. Masy. Politek. Negeri Batam, vol. 5, no. 1, pp. 84–96, Aug. 2023, doi: 10.30871/abdimaspolibatam.v5i1.5543.

N. O. Fauziah, B. N. Fitriatin, H. Fakhrurroja, and T. Simarmata, “Enhancing Soil Nutritional Status in Smart Farming: The Role of IoT‐Based Management for Meeting Plant Requirements,” Int. J. Agron., vol. 2024, no. 1, Jan. 2024, doi: 10.1155/2024/8874325.

F. Nazir, I. P. D. Wibawa, and A. Rizal, “Pemantauan Dan Notifikasi Kondisi Tanah Pada Tanaman Menggunakan Platform Iot,” eProceeding Eng., vol. 10, no. 5, pp. 3991–4001, 2023.

A. Fakhrezi, “Rancang Bangun Sistem Monitoring Unsur Hara, Kelembaban, PH Tanah Dan Suhu Udara Berbasis Iot Menggunakanmikrokontroler ESP32 Iot Based Monitoring System Of Nutrient, Soil Moisture, Soil PH And Air Temprature Using ESP32 Microcontroller,” e-Proceeding Eng., vol. 10, no. 1, pp. 778–786, 2023.

L. G, R. C, and G. P, “An automated low cost IoT based Fertilizer Intimation System for smart agriculture,” Sustain. Comput. Informatics Syst., vol. 28, p. 100300, Dec. 2020, doi: 10.1016/j.suscom.2019.01.002.

K. J. Naidu et al., “Precision Agriculture Monitoring System,” Biosci. Biotechnol. Res. Asia, vol. 21, no. 4, pp. 1543–1551, Dec. 2024, doi: 10.13005/bbra/3324.

K. Khanal, G. Ojha, S. Chataut, and U. Ghimire, “IoT-Based Real-Time Soil Health Monitoring System for Precision Agriculture,” vol. 11, pp. 470–478, Jul. 2024.

F. E. Oguz, M. N. Ekersular, K. M. Sunnetci, and A. Alkan, “Enabling Smart Agriculture: An IoT-Based Framework for Real-Time Monitoring and Analysis of Agricultural Data,” Agric. Res., vol. 13, no. 3, pp. 574–585, Sep. 2024, doi: 10.1007/s40003-024-00705-x.

X. Zhang, G. Feng, and X. Sun, “Advanced technologies of soil moisture monitoring in precision agriculture: A Review,” J. Agric. Food Res., vol. 18, p. 101473, Dec. 2024, doi: 10.1016/j.jafr.2024.101473.

Posted

2025-07-03