Real-world deployment of an affordable sub-soil temperature and relative humidity sensing system for precision agriculture
- 18 November 2025
- journal article
- Published by IOP Publishing in Measurement Science and Technology
- Vol. 36 (11) , 115113
Abstract
Monitoring subsoil temperature ( T ) and relative humidity (RH) is crucial for optimizing agricultural productivity and ensuring sustainable farming practices. However, existing commercial data acquisition (DAQ) systems are often expensive and inaccessible to small-scale farmers. This study presents the development and real-world deployment of an affordable DAQ (A-DAQ) sensing system for monitoring subsoil T and RH. Designed with a modular approach, the A-DAQ system integrates three types of sensors: DS18B20 ( T only), HDC1080 ( T and RH), and DHT22 ( T and RH). The system incorporates low-cost components and custom circuitry to enhance the reliability of DAQ and prevent data loss. The A-DAQ was tested during controlled burns (CBs) in a sugarcane plantation to evaluate its performance in real-world conditions, with approximately 60 m of wiring demonstrating reliable long-distance data transmission. The DS18B20 and HDC1080 sensors provided consistent and accurate subsoil temperature measurements, with readings ranging from 23 °C to 29 °C before and after the CB, respectively. The HDC1080 performed reliably for RH measurements, capturing variations from nearly 100% (before the CB) to ∼0% (after the CB). In contrast, the DHT22 exhibited malfunctions, likely due to the subsoil’s high humidity conditions before the CB, which compromised its functionality. This study demonstrates that the A-DAQ system offers an affordable and scalable solution for subsoil monitoring, highlighting its potential to make precision agriculture technologies accessible to small-scale and family farming operations, ultimately supporting crop improvement.Keywords
Funding Information
- Conselho Nacional de Desenvolvimento Científico e Tecnológico (311439/2021-7)
This publication has 44 references indexed in Scilit:
- Smart agriculture technology: An integrated framework of renewable energy resources, IoT-based energy management, and precision roboticsCleaner Energy Systems, 2024
- Precision agriculture with AI-based responsive monitoring algorithmInternational Journal of Production Economics, 2024
- Application of Green IoT in Agriculture 4.0 and Beyond: Requirements, Challenges and Research Trends in the Era of 5G, LPWANs and Internet of UAV ThingsWireless Personal Communications, 2023
- Technological revolutions in smart farming: Current trends, challenges & future directionsComputers and Electronics in Agriculture, 2022
- Spatial distribution of soil water, plant roots, and water use pattern under different drip fertigation regimes in an apple-soybean intercropping system on the Loess Plateau, ChinaAgricultural Water Management, 2022
- Empirical Study on Energy-Efficient IoT-Based WSN Routing Protocols for Smart Agriculture System2022
- A new model to predict subsoil-thermal profiles based on seasonal rain conditions and soil propertiesGeothermics, 2021
- Soil Sensors and Plant Wearables for Smart and Precision AgricultureAdvanced Materials, 2021
- Effects of mulch and irrigation regimes on water distribution and root competition in an apple–soybean intercropping system in Loess Plateau, ChinaAgricultural Water Management, 2021
- The performance of soil moisture estimates as compared with the direct use of climatological data for estimating crop yieldsAgricultural Meteorology, 1968