TY  - JOUR 
AU  - Martín, Juan
AU  - Sáez, José A.
AU  - Corchado Rodríguez, Emilio Santiago
PY  - 2024
SN  - 0957-4174
SN  - 0957-4174
UR  - http://hdl.handle.net/10366/161994
AB  - [EN]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...
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
T2  - Expert Systems with Applications
VL  - 237
M2  - 121608
ER  -