TY  - GEN 
AU  - Martín, Juan
AU  - Sáez Muñoz, José Antonio
AU  - Corchado, Emilio
PY  - 2024
UR  - https://hdl.handle.net/10481/99218
AB  - In smart agriculture, the accurate prediction of evapotranspiration plays a crucial role in optimizing water usage and maximizing crop yield. However, the increasing adoption of IoT sensor technologies has resulted in the accumulation of large amounts...
LA  - eng
PB  - Elsevier
KW  - IoT sensor data
KW  - data quality
KW  - smart agriculture
KW  - evapotranspiration prediction
KW  - noise filtering
TI  - Tackling the problem of noisy IoT sensor data in smart agriculture: regression noise filters for enhanced evapotranspiration prediction
DO  - 10.1016/j.eswa.2023.121608
ER  -