Wheat Ear Segmentation Based on a Multisensor System and Superpixel Classification

• Published in: Plant phenomics Vol. 2022; p. 9841985
• Main Authors: Carlier, Alexis, Dandrifosse, Sébastien, Dumont, Benjamin, Mercatoris, Benoît
• Format: Journal Article Web Resource
• Language: English
• Published: United States American Association for the Advancement of Science 01.01.2022; AAAS; American Association for the Advancement of Science (AAAS)
• Subjects: Agriculture & agronomie; Agriculture & agronomy; canopy; cultivars; fertilizers; heading; image analysis; Life sciences; nitrogen; phenomics; Sciences du vivant; support vector machines; wheat

The automatic segmentation of ears in wheat canopy images is an important step to measure ear density or extract relevant plant traits separately for the different organs. Recent deep learning algorithms appear as promising tools to accurately detect ears in a wide diversity of conditions. However,...