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
Citácia podle Chicago (17th ed.)Jewan, Shaikh, Deepak Gautam, Debbie Sparkes, Ajit Singh, Lawal Billa, Alessia Cogato, Erik Murchie, a 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.
Citácia podľa MLA (8th ed.)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.