E. M. B. M. Karunathilake1,#, Thanh Tuan Thai1,2,3,#, Sheikh Mansoor1, Anh Tuan Le3,4, Faheem Shehzad Baloch1,5, Yong Suk Chung1,*, Dong-Wook Kim6,*
Phyton-International Journal of Experimental Botany, Vol.94, No.7, pp. 2215-2228, 2025, DOI:10.32604/phyton.2025.067439
- 31 July 2025
Abstract Accurate and timely estimation of above-ground biomass is crucial for understanding crop growth dynamics, optimizing agricultural input management, and assessing productivity in sustainable farming practices. However, conventional biomass assessments are destructive and resource-intensive. In contrast, remote sensing techniques, particularly those utilizing low-altitude unmanned aerial vehicles, provide a non-destructive approach to collect imagery data on plant canopy features, including spectral reflectance and structural details at any stage of the crop life cycle. This study explores the potential visible-light-derived vegetative indices to improve biomass prediction during the flowering period of buckwheat (Fagopyrum tataricum). Red, green, and blue (RGB)… More >
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