Gulati, B.; Zubair, Z.; Sinha, A.; Sinha, N.; Prasad, N.; Semwal, M.
Predicting Nitrogen Flavanol Index (NFI) in Mentha arvensis Using UAV Imaging and Machine Learning Techniques for Sustainable Agriculture. Drones 2025, 9, 483.
https://doi.org/10.3390/drones9070483
AMA Style
Gulati B, Zubair Z, Sinha A, Sinha N, Prasad N, Semwal M.
Predicting Nitrogen Flavanol Index (NFI) in Mentha arvensis Using UAV Imaging and Machine Learning Techniques for Sustainable Agriculture. Drones. 2025; 9(7):483.
https://doi.org/10.3390/drones9070483
Chicago/Turabian Style
Gulati, Bhavneet, Zainab Zubair, Ankita Sinha, Nikita Sinha, Nupoor Prasad, and Manoj Semwal.
2025. "Predicting Nitrogen Flavanol Index (NFI) in Mentha arvensis Using UAV Imaging and Machine Learning Techniques for Sustainable Agriculture" Drones 9, no. 7: 483.
https://doi.org/10.3390/drones9070483
APA Style
Gulati, B., Zubair, Z., Sinha, A., Sinha, N., Prasad, N., & Semwal, M.
(2025). Predicting Nitrogen Flavanol Index (NFI) in Mentha arvensis Using UAV Imaging and Machine Learning Techniques for Sustainable Agriculture. Drones, 9(7), 483.
https://doi.org/10.3390/drones9070483