The amount of water required to irrigate, is essential in agricultural planning. In Mexico the water required for irrigation is generally not estimated when it is carried out despite several estimation methods being available (direct and indirect). However, some methods can be very expensive, requiring preparation time to use them or time to obtain the results. One of the methods involves using sensors based on relative permittivity. This method have been widely used in agriculture because they show the percentage of water contained in the substrate. However, this value helps the producer know the soil moisture status of their crop in percentage units but does not tell them how much water needs to be added to each plant in liters. Knowing this value could help reduce water losses due to infiltration, thereby increasing the crop area. Therefore, it was developed a device capable of recommending the amount of water in v/v (volume of water/volume of soil) required to irrigate a crop. The prototype device was based on the BGT-SEC Z2TM sensor and the ATMEGA 2560TM microcontroller. The obtained device was calibrated and a specific model was developed for two types of soil: sandy (with an RMSE of 0.0107) and loamy (with an RMSE of 0.00556). With factory calibration, a RMSE value of 0.0339 was found for the loamy soil and 0.0278 for the sandy soil. In addition, the sensor was tested on strawberry plants with pots covered with and without plastic mulch (using loamy soil). The results on the strawberry plants, indicated that water consumption was best explained by the specific calibration equation for loamy soil covered with plastic mulch (67.8 mL RMSE) and without plastic mulch (82.8 mL RMSE). Finally, it was found that at least two measurements are required to obtain soil moisture average in plastic mulch strawberry pots and 6 measurements in pots without plastic mulch. With the above, it is concluded that the device developed in this study performed adequately during experiments and the sensor worked continuously without failing.
| Published in | American Journal of Agriculture and Forestry (Volume 12, Issue 5) |
| DOI | 10.11648/j.ajaf.20241205.11 |
| Page(s) | 317-324 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Water Volumetric Content, Sample Size, Acceptable Error, Sensor Accuracy
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APA Style
Quevedo-Nolasco, A., Aguado-Rodriguez, G. (2024). A Prototype That Improves the Interpretation of Soil Moisture by Using the BGT-SEC Z2 Sensor. American Journal of Agriculture and Forestry, 12(5), 317-324. https://doi.org/10.11648/j.ajaf.20241205.11
ACS Style
Quevedo-Nolasco, A.; Aguado-Rodriguez, G. A Prototype That Improves the Interpretation of Soil Moisture by Using the BGT-SEC Z2 Sensor. Am. J. Agric. For. 2024, 12(5), 317-324. doi: 10.11648/j.ajaf.20241205.11
AMA Style
Quevedo-Nolasco A, Aguado-Rodriguez G. A Prototype That Improves the Interpretation of Soil Moisture by Using the BGT-SEC Z2 Sensor. Am J Agric For. 2024;12(5):317-324. doi: 10.11648/j.ajaf.20241205.11
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Download@article{10.11648/j.ajaf.20241205.11,
author = {Abel Quevedo-Nolasco and Graciano-Javier Aguado-Rodriguez},
title = {A Prototype That Improves the Interpretation of Soil Moisture by Using the BGT-SEC Z2 Sensor
},
journal = {American Journal of Agriculture and Forestry},
volume = {12},
number = {5},
pages = {317-324},
doi = {10.11648/j.ajaf.20241205.11},
url = {https://doi.org/10.11648/j.ajaf.20241205.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajaf.20241205.11},
abstract = {The amount of water required to irrigate, is essential in agricultural planning. In Mexico the water required for irrigation is generally not estimated when it is carried out despite several estimation methods being available (direct and indirect). However, some methods can be very expensive, requiring preparation time to use them or time to obtain the results. One of the methods involves using sensors based on relative permittivity. This method have been widely used in agriculture because they show the percentage of water contained in the substrate. However, this value helps the producer know the soil moisture status of their crop in percentage units but does not tell them how much water needs to be added to each plant in liters. Knowing this value could help reduce water losses due to infiltration, thereby increasing the crop area. Therefore, it was developed a device capable of recommending the amount of water in v/v (volume of water/volume of soil) required to irrigate a crop. The prototype device was based on the BGT-SEC Z2TM sensor and the ATMEGA 2560TM microcontroller. The obtained device was calibrated and a specific model was developed for two types of soil: sandy (with an RMSE of 0.0107) and loamy (with an RMSE of 0.00556). With factory calibration, a RMSE value of 0.0339 was found for the loamy soil and 0.0278 for the sandy soil. In addition, the sensor was tested on strawberry plants with pots covered with and without plastic mulch (using loamy soil). The results on the strawberry plants, indicated that water consumption was best explained by the specific calibration equation for loamy soil covered with plastic mulch (67.8 mL RMSE) and without plastic mulch (82.8 mL RMSE). Finally, it was found that at least two measurements are required to obtain soil moisture average in plastic mulch strawberry pots and 6 measurements in pots without plastic mulch. With the above, it is concluded that the device developed in this study performed adequately during experiments and the sensor worked continuously without failing.
},
year = {2024}
}
TY - JOUR T1 - A Prototype That Improves the Interpretation of Soil Moisture by Using the BGT-SEC Z2 Sensor AU - Abel Quevedo-Nolasco AU - Graciano-Javier Aguado-Rodriguez Y1 - 2024/09/06 PY - 2024 N1 - https://doi.org/10.11648/j.ajaf.20241205.11 DO - 10.11648/j.ajaf.20241205.11 T2 - American Journal of Agriculture and Forestry JF - American Journal of Agriculture and Forestry JO - American Journal of Agriculture and Forestry SP - 317 EP - 324 PB - Science Publishing Group SN - 2330-8591 UR - https://doi.org/10.11648/j.ajaf.20241205.11 AB - The amount of water required to irrigate, is essential in agricultural planning. In Mexico the water required for irrigation is generally not estimated when it is carried out despite several estimation methods being available (direct and indirect). However, some methods can be very expensive, requiring preparation time to use them or time to obtain the results. One of the methods involves using sensors based on relative permittivity. This method have been widely used in agriculture because they show the percentage of water contained in the substrate. However, this value helps the producer know the soil moisture status of their crop in percentage units but does not tell them how much water needs to be added to each plant in liters. Knowing this value could help reduce water losses due to infiltration, thereby increasing the crop area. Therefore, it was developed a device capable of recommending the amount of water in v/v (volume of water/volume of soil) required to irrigate a crop. The prototype device was based on the BGT-SEC Z2TM sensor and the ATMEGA 2560TM microcontroller. The obtained device was calibrated and a specific model was developed for two types of soil: sandy (with an RMSE of 0.0107) and loamy (with an RMSE of 0.00556). With factory calibration, a RMSE value of 0.0339 was found for the loamy soil and 0.0278 for the sandy soil. In addition, the sensor was tested on strawberry plants with pots covered with and without plastic mulch (using loamy soil). The results on the strawberry plants, indicated that water consumption was best explained by the specific calibration equation for loamy soil covered with plastic mulch (67.8 mL RMSE) and without plastic mulch (82.8 mL RMSE). Finally, it was found that at least two measurements are required to obtain soil moisture average in plastic mulch strawberry pots and 6 measurements in pots without plastic mulch. With the above, it is concluded that the device developed in this study performed adequately during experiments and the sensor worked continuously without failing. VL - 12 IS - 5 ER -
Department of Hydrosciences, Postgraduate College, Texcoco, Mexico
Department of Hydrosciences, Postgraduate College, Texcoco, Mexico
