A systematic review of the literature on machine learning methods applied to high throughput phenotyping in agricultural production
E Nogueira, B Oliveira, R Bulcão-Neto… - IEEE Latin America …, 2023 - ieeexplore.ieee.org
The amount of images that can be extracted from crops such as soybean, corn, sorghum,
etc., has increased exponentially due to the proliferation of remote sensing technologies …
etc., has increased exponentially due to the proliferation of remote sensing technologies …
Non-destructive measurement of three-dimensional plants based on point cloud
Y Wang, Y Chen - Plants, 2020 - mdpi.com
In agriculture, information about the spatial distribution of plant growth is valuable for
applications. Quantitative study of the characteristics of plants plays an important role in the …
applications. Quantitative study of the characteristics of plants plays an important role in the …
High-resolution 3D crop reconstruction and automatic analysis of phenotyping index using machine learning
M Yang, SI Cho - Agriculture, 2021 - mdpi.com
Beyond the use of 2D images, the analysis of 3D images is also necessary for analyzing the
phenomics of crop plants. In this study, we configured a system and implemented an …
phenomics of crop plants. In this study, we configured a system and implemented an …
Kinect-based 3D reconstruction of leaf lettuce
Existing 3D reconstruction methods of plants require manual adjustment of parameters,
which cannot meet the needs of rapid and high-throughput reconstruction. This paper takes …
which cannot meet the needs of rapid and high-throughput reconstruction. This paper takes …