Application of low-cost soil moisture sensors for irrigation management in Brassica oleracea var. acephala cultivation

• Calibration confirmed the viability of SKU: CE09640 for soil moisture estimation. • RGB LEDs enabled intuitive soil moisture feedback for low-literacy farmers. • The sensors responded consistently to field soil moisture variations in kale. • No significant differences between low-cost and conventional irrigation management methods. • The system is low-cost, patentable, and suitable for resource-limited contexts. Water scarcity demands efficient irrigation, yet conventional technologies remain inaccessible to low-income farmers. Low-cost, easy-to-use sensors represent a promising alternative. This study develop and evaluate a soil moisture monitoring system using low-cost capacitive sensors (SKU: CE09640) integrated with an Arduino microcontroller, featuring RGB LED alerts to indicate soil water status. Field validation was conducted in kale ( Brassica oleracea var. acephala ) cultivation, comparing three irrigation management (IM) strategies: crop evapotranspiration (ETc), tensiometers (IMT), and capacitive sensors (IMC). Sensors were calibrated in the laboratory using the gravimetric method. The experiment followed a randomized block design in a 4 × 3 factorial scheme, with four irrigation levels (50 %, 75 %, 100 %, and 125 % of the irrigation depth estimated by each method). Number of commercial (NCL) and non-commercial leaves (NNCL), fresh weight (FMML), number of mature leaves (NML), and water use productivity (WUP) were evaluated. Calibration results showed a strong inverse correlation ( R < -0.964), high fit (R 2 > 0.95), and acceptable accuracy (RMSE < 0.05) in predicting soil moisture compared to gravimetric method. Field validation revealed no significant interaction between factors and similar performance among IM strategies for most variables. ETc-based IM showed the highest WUP (12.42 g l -1 ), followed by IMC (10.95 g l -1 ), and IMT (9.82 g l -1 ), indicating that the SKU: CE09640 sensors enables greater water savings than conventional devices like tensiometers. The findings support the use of SKU: CE09640 sensors is a viable, accessible solution for IM, promoting efficient water use and benefiting smallholder farmers with limited educational backgrounds or technical training.

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Publication Details

Journal
Smart Agricultural Technology
Published
2025-11-05
DOI
https://doi.org/10.1016/j.atech.2025.101596
Primary Topic
Soil Moisture and Remote Sensing
Type
article
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article

Application of low-cost soil moisture sensors for irrigation management in Brassica oleracea var. acephala cultivation

José Rafael Franco, Rodrigo Máximo Sanchéz-Román, Valdemiro Simão João Pitoro, Cleber A. Amorim
Smart Agricultural Technology
Soil Moisture and Remote Sensing
article

Application of low-cost soil moisture sensors for irrigation management in Brassica oleracea var. acephala cultivation

José Rafael Franco, Rodrigo Máximo Sanchéz-Román, Valdemiro Simão João Pitoro, Cleber A. Amorim
article en

Abstract

• Calibration confirmed the viability of SKU: CE09640 for soil moisture estimation. • RGB LEDs enabled intuitive soil moisture feedback for low-literacy farmers. • The sensors responded consistently to field soil moisture variations in kale. • No significant differences between low-cost and conventional irrigation management methods. • The system is low-cost, patentable, and suitable for resource-limited contexts. Water scarcity demands efficient irrigation, yet conventional technologies remain inaccessible to low-income farmers. Low-cost, easy-to-use sensors represent a promising alternative. This study develop and evaluate a soil moisture monitoring system using low-cost capacitive sensors (SKU: CE09640) integrated with an Arduino microcontroller, featuring RGB LED alerts to indicate soil water status. Field validation was conducted in kale ( Brassica oleracea var. acephala ) cultivation, comparing three irrigation management (IM) strategies: crop evapotranspiration (ETc), tensiometers (IMT), and capacitive sensors (IMC). Sensors were calibrated in the laboratory using the gravimetric method. The experiment followed a randomized block design in a 4 × 3 factorial scheme, with four irrigation levels (50 %, 75 %, 100 %, and 125 % of the irrigation depth estimated by each method). Number of commercial (NCL) and non-commercial leaves (NNCL), fresh weight (FMML), number of mature leaves (NML), and water use productivity (WUP) were evaluated. Calibration results showed a strong inverse correlation ( R < -0.964), high fit (R 2 > 0.95), and acceptable accuracy (RMSE < 0.05) in predicting soil moisture compared to gravimetric method. Field validation revealed no significant interaction between factors and similar performance among IM strategies for most variables. ETc-based IM showed the highest WUP (12.42 g l -1 ), followed by IMC (10.95 g l -1 ), and IMT (9.82 g l -1 ), indicating that the SKU: CE09640 sensors enables greater water savings than conventional devices like tensiometers. The findings support the use of SKU: CE09640 sensors is a viable, accessible solution for IM, promoting efficient water use and benefiting smallholder farmers with limited educational backgrounds or technical training.

Smart Agricultural TechnologyVol. 12
Lúrio University (MZ), Universidade Estadual Paulista (Unesp) (BR)
Openalex Percentile: Top 70%
Soil Moisture and Remote Sensing
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