Resources for image-based high-throughput phenotyping in crops and data sharing challenges
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) …
variation of plants through multiple types of sensors, such as red green and blue (RGB) …
Application of optical quality control technologies in the dairy industry: An overview
DE Burmistrov, DY Pavkin, AR Khakimov… - Photonics, 2021 - mdpi.com
Sustainable development of the agricultural industry, in particular, the production of milk and
feed for farm animals, requires accurate, fast, and non-invasive diagnostic tools. Currently …
feed for farm animals, requires accurate, fast, and non-invasive diagnostic tools. Currently …
Broad learning system with locality sensitive discriminant analysis for hyperspectral image classification
In this paper, we propose a new method for hyperspectral images (HSI) classification,
aiming to take advantage of both manifold learning‐based feature extraction and neural …
aiming to take advantage of both manifold learning‐based feature extraction and neural …
Hyperspectral image classification method based on 2D–3D CNN and multibranch feature fusion
Z Ge, G Cao, X Li, P Fu - IEEE Journal of Selected Topics in …, 2020 - ieeexplore.ieee.org
The emergence of a convolutional neural network (CNN) has greatly promoted the
development of hyperspectral image (HSI) classification technology. However, the …
development of hyperspectral image (HSI) classification technology. However, the …
A series of spatio-temporal analyses and predicting modeling of land use and land cover changes using an integrated Markov chain and cellular automata models
For sustainable land cover planning, spatial land cover models are essential. Deforestation,
loss of agriculture, and conversion of pasture land to urban and industrial uses are only …
loss of agriculture, and conversion of pasture land to urban and industrial uses are only …
High throughput field phenotyping for plant height using UAV-based RGB imagery in wheat breeding lines: Feasibility and validation
Plant height (PH) is an essential trait in the screening of most crops. While in crops such as
wheat, medium stature helps reduce lodging, tall plants are preferred to increase total above …
wheat, medium stature helps reduce lodging, tall plants are preferred to increase total above …
Hyperspectral reflectance-derived relationship matrices for genomic prediction of grain yield in wheat
Hyperspectral reflectance phenotyping and genomic selection are two emerging
technologies that have the potential to increase plant breeding efficiency by improving …
technologies that have the potential to increase plant breeding efficiency by improving …
The SMARTS spectral irradiance model after 25 years: New developments and validation of reference spectra
CA Gueymard - Solar Energy, 2019 - Elsevier
A detailed literature survey of the diverse applications in which the SMARTS spectral
radiation model has been involved during the last 25 years first provides an overview of the …
radiation model has been involved during the last 25 years first provides an overview of the …
Assessment of crop traits retrieved from airborne hyperspectral and thermal remote sensing imagery to predict wheat grain protein content
Wheat (Triticum spp.) is among the world's most widely grown crops and receives large
quantities of nitrogen (N) fertiliser. Grain protein content (GPC) is influenced by genetic …
quantities of nitrogen (N) fertiliser. Grain protein content (GPC) is influenced by genetic …
[HTML][HTML] Radiative transfer model inversion using high-resolution hyperspectral airborne imagery–Retrieving maize LAI to access biomass and grain yield
Mapping crop within-field yield variability provide an essential piece of information for
precision agriculture applications. Leaf Area Index (LAI) is an important parameter that …
precision agriculture applications. Leaf Area Index (LAI) is an important parameter that …