1. Additive nonlinear biomass equations: a likelihood-based approach;Affleck;For. Sci.,2016
2. Alzubaidi, L., Zhang, J., Humaidi, A.J., Dujaili, A.A., Duan, Y., Al‑Shamma, O., Santamaría, J., Fadhel, Al‑Amidie, M., Farhan, L., 2021. Review of deep learning: concepts, CNN architectures, challenges, applications, future directions. J. Big Data (2021) 8:53. DOI: 10.1186/s40537-021-00444-8.
3. A critical review of forest biomass estimation equations in India;Brahma;Trees Forests People,2021
4. Improved allometric models to estimate the aboveground biomass of tropical trees;Chave;Glob. Chang. Biol.,2014
5. Chollet, F., 2018. Deep Learning with Python. Manning, Shelter Island, NY, USA, 386 pp.