Canopy height and biomass prediction in Mombaça guinea grass pastures using satellite imagery and machine learning-Reference-Cited by-同舟云学术

Canopy height and biomass prediction in Mombaça guinea grass pastures using satellite imagery and machine learning

Published:2023-04-17 Issue:4 Volume:24 Page:1638-1662
ISSN:1385-2256
Container-title:Precision Agriculture
language:en
Short-container-title:Precision Agric

Author:

Bretas Igor Lima^ORCID,Valente Domingos Sarvio Magalhães^ORCID,de Oliveira Thiago Furtado,Montagner Denise Baptaglin^ORCID,Euclides Valéria Pacheco Batista^ORCID,Chizzotti Fernanda Helena Martins^ORCID

Funder

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences

Link

https://link.springer.com/content/pdf/10.1007/s11119-023-10013-z.pdf

Reference53 articles.

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2. Alvarenga, C. A. F., Euclides, V. P. B., Montagner, D. B., Sbrissia, A. F., Barbosa, R. A., & De Araújo, A. R. (2020). Animal performance and sward characteristics of Mombaça guineagrass pastures subjected to two grazing frequencies. Tropical Grasslands-Forrajes Tropicales, 8(1), 1–10. https://doi.org/10.17138/tgft(8)1-10

3. Alvarez-Mendoza, C. I., Guzman, D., Casas, J., Bastidas, M., Polanco, J., Valencia-Ortiz, M., Montenegro, F., Arango, J., Ishitani, M., & Selvaraj, M. G. (2022). Predictive modeling of above-ground biomass in brachiaria pastures from satellite and UAV imagery using machine learning approaches. Remote Sensing, 14(22), 5870. https://doi.org/10.3390/rs14225870

4. Barrett, B., Nitze, I., Green, S., & Cawkwell, F. (2014). Assessment of multi-temporal, multi-sensor radar and ancillary spatial data for grasslands monitoring in Ireland using machine learning approaches. Remote Sensing of Environment, 152, 109–124. https://doi.org/10.1016/j.rse.2014.05.018

5. Batistoti, J., Marcato Junior, J., Ítavo, L., Matsubara, E., Gomes, E., Oliveira, B., Souza, M., Siqueira, H., Salgado Filho, G., Akiyama, T., Gonçalves, W., Liesenberg, V., Li, J., & Dias, A. (2019). Estimating pasture biomass and canopy height in Brazilian Savanna using UAV photogrammetry. Remote Sensing, 11(20), 2447. https://doi.org/10.3390/rs11202447

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