Identification and Counting of Coffee Trees Based on Convolutional Neural Network Applied to RGB Images Obtained by RPA
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- Francisco Manuel Jiménez-Brenes & Francisca López-Granados & Jorge Torres-Sánchez & José Manuel Peña & Pilar Ramírez & Isabel Luisa Castillejo-González & Ana Isabel de Castro, 2019. "Automatic UAV-based detection of Cynodon dactylon for site-specific vineyard management," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-21, June.
- Nicole Lopes Bento & Gabriel Araújo e Silva Ferraz & Rafael Alexandre Pena Barata & Daniel Veiga Soares & Luana Mendes dos Santos & Lucas Santos Santana & Patrícia Ferreira Ponciano Ferraz & Leonardo , 2022. "Characterization of Recently Planted Coffee Cultivars from Vegetation Indices Obtained by a Remotely Piloted Aircraft System," Sustainability, MDPI, vol. 14(3), pages 1-20, January.
- Vaibhav Bhatnagar & Ramesh C. Poonia & Surendra Sunda, 2019. "State of the Art and Gap Analysis of Precision Agriculture: A Case Study of Indian Farmers," International Journal of Agricultural and Environmental Information Systems (IJAEIS), IGI Global, vol. 10(3), pages 72-92, July.
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remote sensing; deep learning; precision coffee-growing; digital agriculture; plant count;All these keywords.
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