TY - GEN
T1 - Evaluation of Irrigation Requirements with Iot for Biochar-Amended Soils in Greenhouses
AU - Ruiz-Barquero, Anibal
AU - Villagra-Mendoza, Karolina
AU - Gomez-Astorga, Maria Jose
AU - Arriola-Valverde, Sergio
AU - Masis-Melendez, Federico
AU - Quesada-Kimsey, Jaime
AU - Garcia-Ramirez, Ronny
AU - Chacon-Rodriguez, Alfonso
AU - Arnaud, Alfredo
AU - Rimolo-Donadio, Renato
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This paper presents an IoT irrigation system to automatically regulate water usage for various soil types, targeting greenhouse applications. The considerations for the utilization of low-cost soil moisture sensors and their calibration are addressed, as well as the data processing through a Web server and the drip watering control approach with electrovalves. Challenges for achieving a cost-balanced yet robust solution for IoT control, considering initial investment, reliability of the building blocks, and their maintenance, are also discussed. The IoT irrigation system could effectively differentiate water needs according to soil type composition, registering about eight times less water requirements for soil amendments with biochar.
AB - This paper presents an IoT irrigation system to automatically regulate water usage for various soil types, targeting greenhouse applications. The considerations for the utilization of low-cost soil moisture sensors and their calibration are addressed, as well as the data processing through a Web server and the drip watering control approach with electrovalves. Challenges for achieving a cost-balanced yet robust solution for IoT control, considering initial investment, reliability of the building blocks, and their maintenance, are also discussed. The IoT irrigation system could effectively differentiate water needs according to soil type composition, registering about eight times less water requirements for soil amendments with biochar.
KW - Internet of Things
KW - Precision agriculture
KW - Sensor calibration
KW - Soil moisture
KW - Water efficiency
KW - Wireless sensor networks
UR - https://www.scopus.com/pages/publications/86000023118
U2 - 10.1109/BIP63158.2024.10885394
DO - 10.1109/BIP63158.2024.10885394
M3 - Contribución a la conferencia
AN - SCOPUS:86000023118
T3 - 6th IEEE International Conference on BioInspired Processing, BIP 2024
BT - 6th IEEE International Conference on BioInspired Processing, BIP 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE International Conference on BioInspired Processing, BIP 2024
Y2 - 4 December 2024 through 6 December 2024
ER -