Wheat ear counting using K-means clustering segmentation and convolutional neural network
Sign Up to like & getrecommendations! Published in 2020 at "Plant Methods"
DOI: 10.1186/s13007-020-00648-8
Abstract: Background Wheat yield is influenced by the number of ears per unit area, and manual counting has traditionally been used to estimate wheat yield. To realize rapid and accurate wheat ear counting, K-means clustering was… read more here.
Keywords: ear counting; wheat; means clustering; wheat ear ... See more keywords
FIDMT-GhostNet: a lightweight density estimation model for wheat ear counting
Sign Up to like & getrecommendations! Published in 2024 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2024.1435042
Abstract: Wheat is one of the important food crops in the world, and the stability and growth of wheat production have a decisive impact on global food security and economic prosperity. Wheat counting is of great… read more here.
Keywords: wheat; model; ghostnet; wheat ear ... See more keywords