TY - CONF
T1 - Investigation of soil wetting pattern in drip irrigation using LoraWAN technology
AU - Jiang, Xiaohu
AU - He, Long
AU - Tong, Jin
N1 - Funding Information:
This research was supported in part by the United States Department of Agriculture’s (USDA) National Institute of Food and Agriculture Federal Appropriations (Project PEN04547; Accession No. 1001036), the State Horticultural Association of Pennsylvania (SHAP), the USDA Northeast SARE (Grant No. 19-378-33243).
Funding Information:
This research was supported in part by the United States Department of Agriculture's (USDA) National Institute of Food and Agriculture Federal Appropriations (Project PEN04547; Accession No. 1001036), the State Horticultural Association of Pennsylvania (SHAP), the USDA Northeast SARE (Grant No. 19-378-33243).
Publisher Copyright:
© ASABE 2020 Annual International Meeting.
PY - 2020
Y1 - 2020
N2 - Soil moisture based irrigation was used widely due to its low cost, effectiveness in saving water, and increasing of crop yield. However, soil moisture under drip irrigation varies spatially due to the influences of environmental factors. That means the location of soil moisture sensors can affect the soil moisture levels in a field. Thus, investigation of soil water movement to guide the placement of soil moisture sensors could be an important factor for well-designed soil moisture based irrigation system. To investigate the water movement under drip irrigation, an Internet of Things (IoT) system including soil water potential (SWP) sensors, LoRa (Long Range) communication system, local gateway, and cloud server was developed. 16 SWP sensors were placed in crop root zone at one side of an emitter along with the dripline. With the designed configuration, the data of SWP sensors could be monitored and accessed by end users through internet. The developed IoT system was tested and evaluated functionally, even there was no irrigation event during the period. The results indicated that The SWP sensors could detect the change of SWP and were sensitive enough to respond these changes during a precipitation event. The outcome from this study showed the effectiveness of the LoRaWAN based IoT system in the investigation of water movement in the soil. More experiment will be conducted to measure the soil water movement under drip irrigation in the future.
AB - Soil moisture based irrigation was used widely due to its low cost, effectiveness in saving water, and increasing of crop yield. However, soil moisture under drip irrigation varies spatially due to the influences of environmental factors. That means the location of soil moisture sensors can affect the soil moisture levels in a field. Thus, investigation of soil water movement to guide the placement of soil moisture sensors could be an important factor for well-designed soil moisture based irrigation system. To investigate the water movement under drip irrigation, an Internet of Things (IoT) system including soil water potential (SWP) sensors, LoRa (Long Range) communication system, local gateway, and cloud server was developed. 16 SWP sensors were placed in crop root zone at one side of an emitter along with the dripline. With the designed configuration, the data of SWP sensors could be monitored and accessed by end users through internet. The developed IoT system was tested and evaluated functionally, even there was no irrigation event during the period. The results indicated that The SWP sensors could detect the change of SWP and were sensitive enough to respond these changes during a precipitation event. The outcome from this study showed the effectiveness of the LoRaWAN based IoT system in the investigation of water movement in the soil. More experiment will be conducted to measure the soil water movement under drip irrigation in the future.
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U2 - 10.13031/aim.202000419
DO - 10.13031/aim.202000419
M3 - Paper
AN - SCOPUS:85096610911
T2 - 2020 ASABE Annual International Meeting
Y2 - 13 July 2020 through 15 July 2020
ER -