Jewan, S.Y.Y.; Gautam, D.; Sparkes, D.; Singh, A.; Billa, L.; Cogato, A.; Murchie, E.; Pagay, V.
Integrating Hyperspectral, Thermal, and Ground Data with Machine Learning Algorithms Enhances the Prediction of Grapevine Yield and Berry Composition. Remote Sens. 2024, 16, 4539.
https://doi.org/10.3390/rs16234539
AMA Style
Jewan SYY, Gautam D, Sparkes D, Singh A, Billa L, Cogato A, Murchie E, Pagay V.
Integrating Hyperspectral, Thermal, and Ground Data with Machine Learning Algorithms Enhances the Prediction of Grapevine Yield and Berry Composition. Remote Sensing. 2024; 16(23):4539.
https://doi.org/10.3390/rs16234539
Chicago/Turabian Style
Jewan, Shaikh Yassir Yousouf, Deepak Gautam, Debbie Sparkes, Ajit Singh, Lawal Billa, Alessia Cogato, Erik Murchie, and Vinay Pagay.
2024. "Integrating Hyperspectral, Thermal, and Ground Data with Machine Learning Algorithms Enhances the Prediction of Grapevine Yield and Berry Composition" Remote Sensing 16, no. 23: 4539.
https://doi.org/10.3390/rs16234539
APA Style
Jewan, S. Y. Y., Gautam, D., Sparkes, D., Singh, A., Billa, L., Cogato, A., Murchie, E., & Pagay, V.
(2024). Integrating Hyperspectral, Thermal, and Ground Data with Machine Learning Algorithms Enhances the Prediction of Grapevine Yield and Berry Composition. Remote Sensing, 16(23), 4539.
https://doi.org/10.3390/rs16234539
