Article Versions Notes

Jewan SYY, Singh A, Billa L, Sparkes D, Murchie E, Gautam D, Cogato A, Pagay V. Can Multi-Temporal Vegetation Indices and Machine Learning Algorithms Be Used for Estimation of Groundnut Canopy State Variables? Horticulturae. 2024; 10(7):748. https://doi.org/10.3390/horticulturae10070748

Jewan, Shaikh Yassir Yousouf, Ajit Singh, Lawal Billa, Debbie Sparkes, Erik Murchie, Deepak Gautam, Alessia Cogato, and Vinay Pagay. 2024. "Can Multi-Temporal Vegetation Indices and Machine Learning Algorithms Be Used for Estimation of Groundnut Canopy State Variables?" Horticulturae 10, no. 7: 748. https://doi.org/10.3390/horticulturae10070748

Jewan, S. Y. Y., Singh, A., Billa, L., Sparkes, D., Murchie, E., Gautam, D., Cogato, A., & Pagay, V. (2024). Can Multi-Temporal Vegetation Indices and Machine Learning Algorithms Be Used for Estimation of Groundnut Canopy State Variables? Horticulturae, 10(7), 748. https://doi.org/10.3390/horticulturae10070748