Using 3D sensing for plant phenotyping has risen within the last years. This review provides
an overview on 3D traits for the demands of plant phenotyping considering different …

Computer vision technology is moving more and more towards a three-dimensional
approach, and plant phenotyping is following this trend. However, despite its potential, the …

The application of 3D point cloud data in maize research is increasingly extensive.
Currently, there are many approaches to acquiring three-dimensional (3D) point clouds of …

Phenotyping is the task of measuring plant attributes for analyzing the current state of the
plant. In agriculture, phenotyping can be used to make decisions concerning the …

High resolution RGB imagery collected using a UAV and a handheld camera was used with
structure from motion to reconstruct 3D canopies of small groups of corn plants. A …

This paper reviews the past and current trends of three-dimensional (3D) modeling and
reconstruction of plants and trees. These topics have been studied in multiple research …

Segmentation of plant point clouds to obtain high-precise morphological traits is essential for
plant phenotyping. Although the fast development of deep learning has boosted much …

The Hogweed of Sosnowskyi (lat. Heracleum sosnówskyi) is poisonous for humans,
dangerous for farming crops, and local ecosystems. This plant is fast-growing and has …

Organ level instance segmentation (eg, individual leaves) based on computer vision
techniques is a key step in the measurement of plant phenotypes. Since plant organs …

High-throughput phenotyping (HTP) platforms are capable of monitoring the phenotypic
variation of plants through multiple types of sensors, such as red green and blue (RGB) …