| Issue |
BIO Web Conf.
Volume 69, 2023
The 2nd International Conference on Agriculture, Food, and Environment (2nd ICAFE 2023)
|
|
|---|---|---|
| Article Number | 05003 | |
| Number of page(s) | 10 | |
| Section | Smart Technologies in Agricultural Systems | |
| DOI | https://doi.org/10.1051/bioconf/20236905003 | |
| Published online | 16 October 2023 | |
Development of Soil Moisture Content Monitoring System for Precision Measurement of Soil Moisture in Sub-Optimal Land for Palm Oil Plantation
1 Smart Agriculture Research Center, Department of Agricultural and Biosystems Engineering, Faculty of Agricultural Technology, Universitas Gadjah Mada, Jl. Flora 1 Bulaksumur, Yogyakarta 55281, Indonesia
2 Wilmar International Plantation, Region Kalimantan Tengah, Indonesia
1 Corresponding author: andrew@ugm.ac.id
Indonesia has 15 million hectares of palm oil plantation, making it one of the world’s greatest palm oil and CPO producers. However, despite the large area of palm oil plantations, the production is not yet optimal. Soil moisture and environmental factors are the leading cause. Thus, a technology suited to monitor soil moisture, soil temperature, and microclimates needs to be developed. This research aims to develop a Soil Moisture Content (SMC) Monitoring System that can be used to monitor soil moisture, supported by soil temperature and microclimates variable and also operates automatically and in real-time. The device is also integrated with a cloud server. The implemented SMC was installed on the palm oil plantation of PT Kerry Sawit Indonesia, Wilmar International Plantation. On top of that, the SMC device can measure soil moisture up to three variations of depth. The acquired data was saved and sent to a cloud server. Then, a user can access the data to execute early water deficit anticipation. The resulting device is capable of measuring soil moisture accurately, which can be proven with these parameters, R square value of 0.9782, RMSE of 1.2%, and MAPE of 2.6%.
Key words: Soil / Palm / Environmental Factors / Real-time Monitoring / Cloud Integration
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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