Quinoa Smartapp: intelligent rural platform prototype, in real time, to increase productivity in the organic quinoa value chain (chenopodium quinoa willd)

Research output

Research output per year 2020 2020 2020

• 1 Chapter
• 1 Paper (Conference contribution)

Research output per year

Research output per year

Search results

• 2020

  Semantic Segmentation of Weeds and Crops in Multispectral Images by Using a Convolutional Neural Networks Based on U-Net

  Chicchón Apaza, M. Á., Monzón, H. M. B. & Garrido, R. P. A., 1 Jan 2020, Communications in Computer and Information Science. Botto-Tobar, M., Zambrano Vizuete, M., Torres-Carrión, P., Montes León, S., Pizarro Vásquez, G. & Durakovic, B. (eds.). Springer, p. 473-485 13 p. (Communications in Computer and Information Science; vol. 1194 CCIS).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • Multispectral Images 100%
  • Segmentation 69%
  • Crops 64%
  • Neural Networks 54%
  • Convolutional neural networks 52%
  4 Scopus citations