Huang, P.; Yang, P.; Yang, L.; Xiao, F.; Feng, Y.; Wang, Y.
Non-Destructive Detection and Visualization of Chlorophyll Content in Cherry Tomatoes Based on Hyperspectral Technology and Machine Learning. Agriculture 2024, 14, 2247.
https://doi.org/10.3390/agriculture14122247
AMA Style
Huang P, Yang P, Yang L, Xiao F, Feng Y, Wang Y.
Non-Destructive Detection and Visualization of Chlorophyll Content in Cherry Tomatoes Based on Hyperspectral Technology and Machine Learning. Agriculture. 2024; 14(12):2247.
https://doi.org/10.3390/agriculture14122247
Chicago/Turabian Style
Huang, Peng, Pan Yang, Libiao Yang, Futong Xiao, Yanqi Feng, and Yuchao Wang.
2024. "Non-Destructive Detection and Visualization of Chlorophyll Content in Cherry Tomatoes Based on Hyperspectral Technology and Machine Learning" Agriculture 14, no. 12: 2247.
https://doi.org/10.3390/agriculture14122247
APA Style
Huang, P., Yang, P., Yang, L., Xiao, F., Feng, Y., & Wang, Y.
(2024). Non-Destructive Detection and Visualization of Chlorophyll Content in Cherry Tomatoes Based on Hyperspectral Technology and Machine Learning. Agriculture, 14(12), 2247.
https://doi.org/10.3390/agriculture14122247
