Vineyard trunk detection using deep learning – An experimental device benchmark-Reference-Cited by-同舟云学术

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Vineyard trunk detection using deep learning – An experimental device benchmark

Published:2020-08 Issue: Volume:175 Page:105535
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Pinto de Aguiar André Silva,Neves dos Santos Filipe Baptista,Feliz dos Santos Luís Carlos,de Jesus Filipe Vitor Manuel,Miranda de Sousa Armando Jorge

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference53 articles.

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2. Towards a reliable robot for steep slope vineyards monitoring;Dos Santos;J. Intell. Robot. Syst.,2016

3. Roldán, J.J., del Cerro, J., Garzún-Ramos, D., Garcia-Aunon, P., Garzún, M., de Leún, J., Barrientos, A., 2018. Robots in Agriculture: State of Art and Practical Experiences. doi:10.5772/intechopen.69874. https://app.dimensions.ai/details/publication/pub.1100266943 and https://www.intechopen.com/citation-pdf-url/56199.

4. Duckett, T., Pearson, S., Blackmore, S., Grieve, B., Chen, W.-H, Cielniak, G., Cleaversmith, J., Dai, J., Davis, S., Fox, C., From, P., Georgilas, I., Gill, R., Gould, I., Hanheide, M., Hunter, A., Iida, F., Mihalyova, L., Nefti-Meziani, S., Neumann, G., Paoletti, P., Pridmore, T., Ross, D., Smith, M., Stoelen, M., Swainson, M., Wane, S., Wilson, P., Wright, I., Yang, G.-Z., 2018. Agricultural robotics: the future of robotic agriculture. arXiv:1806.06762.

5. Santos, F.B.N. d., Sobreira, H.M.P., Campos, D.F.B., Santos, R.M.P.M. d., Moreira, A.P.G.M., Contente, O.M.S., 2015. Towards a reliable monitoring robot for mountain vineyards. In: 2015 IEEE International Conference on Autonomous Robot Systems and Competitions, pp. 37–43. doi:10.1109/ICARSC.2015.21.

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