Koliopanos, C.; Gemitzi, A.; Kofakis, P.; Malamos, N.; Tsirogiannis, I.
Enhancing Temperature Data Quality for Agricultural Decision-Making with Emphasis to Evapotranspiration Calculation: A Robust Framework Integrating Dynamic Time Warping, Fuzzy Logic, and Machine Learning. AgriEngineering 2025, 7, 174.
https://doi.org/10.3390/agriengineering7060174
AMA Style
Koliopanos C, Gemitzi A, Kofakis P, Malamos N, Tsirogiannis I.
Enhancing Temperature Data Quality for Agricultural Decision-Making with Emphasis to Evapotranspiration Calculation: A Robust Framework Integrating Dynamic Time Warping, Fuzzy Logic, and Machine Learning. AgriEngineering. 2025; 7(6):174.
https://doi.org/10.3390/agriengineering7060174
Chicago/Turabian Style
Koliopanos, Christos, Alexandra Gemitzi, Petros Kofakis, Nikolaos Malamos, and Ioannis Tsirogiannis.
2025. "Enhancing Temperature Data Quality for Agricultural Decision-Making with Emphasis to Evapotranspiration Calculation: A Robust Framework Integrating Dynamic Time Warping, Fuzzy Logic, and Machine Learning" AgriEngineering 7, no. 6: 174.
https://doi.org/10.3390/agriengineering7060174
APA Style
Koliopanos, C., Gemitzi, A., Kofakis, P., Malamos, N., & Tsirogiannis, I.
(2025). Enhancing Temperature Data Quality for Agricultural Decision-Making with Emphasis to Evapotranspiration Calculation: A Robust Framework Integrating Dynamic Time Warping, Fuzzy Logic, and Machine Learning. AgriEngineering, 7(6), 174.
https://doi.org/10.3390/agriengineering7060174
