Jewan, S., Gautam, D., Sparkes, D., Singh, A., Billa, L., Cogato, A., . . . Pagay, V. (2024). Integrating Hyperspectral, Thermal, and Ground Data with Machine Learning Algorithms Enhances the Prediction of Grapevine Yield and Berry Composition. Remote sensing (Basel, Switzerland), 16(23), 4539. https://doi.org/10.3390/rs16234539
Chicago-Zitierstil (17. Ausg.)Jewan, Shaikh, Deepak Gautam, Debbie Sparkes, Ajit Singh, Lawal Billa, Alessia Cogato, Erik Murchie, und Vinay Pagay. "Integrating Hyperspectral, Thermal, and Ground Data with Machine Learning Algorithms Enhances the Prediction of Grapevine Yield and Berry Composition." Remote Sensing (Basel, Switzerland) 16, no. 23 (2024): 4539. https://doi.org/10.3390/rs16234539.
MLA-Zitierstil (9. Ausg.)Jewan, Shaikh, et al. "Integrating Hyperspectral, Thermal, and Ground Data with Machine Learning Algorithms Enhances the Prediction of Grapevine Yield and Berry Composition." Remote Sensing (Basel, Switzerland), vol. 16, no. 23, 2024, p. 4539, https://doi.org/10.3390/rs16234539.