Remote sensing technology allows to provide information about biochemical and
biophysical crop traits and monitor their spatiotemporal dynamics of agriculture ecosystems …

Leaf area index (LAI) is an important phenotypic trait closely related to photosynthesis,
respiration, and water utilization. In recent years, unmanned aerial vehicles (UAVs) …

Grain yield is increasingly affected by climate factors such as drought and heat. To develop
resilient and high-yielding cultivars, high-throughput phenotyping (HTP) techniques are …

Maize yield forecasting is important for the organisation of harvesting and storage, for the
estimation of the commodity base and for the provision of the country's feed and food …

Leaf chlorophyll content (LCC) is a crucial indicator of nutrition in apple trees and can be
applied to assess their growth status. Hyperspectral data can provide an important means …

In preparation for new-generation imaging spectrometer missions and the accompanying
unprecedented inflow of hyperspectral data, optimized models are needed to generate …

The high-precision estimation of mangrove leaf area index (LAI) using a deep learning
regression algorithm (DLR) always requires a large amount of training sample data …

The advent of high-spatial-resolution hyperspectral imagery from unmanned aerial vehicles
(UAVs) made a breakthrough in the detailed retrieval of crop traits for precision crop-growth …

Water scarcity is one of the most significant environmental factors that inhibits
photosynthesis and decreases the growth and productivity of plants. Using the deep …

As an essential vegetation biophysical trait that determines the plant's structure and
photosynthetic capacity, characterizing of leaf area index (LAI) is important for vegetation …