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6 paź 2022 · Here, we present AngleCam, a deep learning‐based approach to predict leaf angle distributions from horizontal photographs acquired with low‐cost timelapse cameras.
2 paź 2024 · Here, we derive leaf angles from plant photographs to simulate the effect on vegetation indices with radiative transfer models.
6 paź 2022 · While effective methods to track leaf angles remain sparse, we present AngleCam, a method to estimate leaf angles from horizontal plant photographs using CNNs and low-cost outdoor cameras.
15 sie 2023 · The leaf angle distribution refers to the probability of the leaf normal falling within a unit interval of inclination angle (Ross, 1981). Leaf inclination can also serve as an indicator of stress for some species (Biskup et al., 2007).
20 lut 2019 · In this letter, we propose an efficient and low-cost approach to estimate both leaf zenith and azimuth angles from smartphone photographs by using a structure from motion (SfM) point cloud and pyramid convolutional neural network (PCNN)-based leaf detection.
We suggest a few key directions to take, including (I) understanding the environmental and biological drivers of leaf angle by quantifying the global variations in leaf angle, (II) exploring the coordinated relationship between leaf angle as a canopy structural trait and other leaf traits, and (III) efficiently incorporating leaf angle in ...
25 lip 2019 · Probabilistic modelling of gaps for light–canopy interactions has long served as a theoretical basis to estimate vegetation structural parameters—leaf area index (LAI) and leaf angle distribution (LAD)—from optical measurements such as hemispherical photos.
