Near-infrared hyperspectral imaging pipelines for pasture seed quality evaluation: An overview
P Reddy, KM Guthridge, J Panozzo, EJ Ludlow… - Sensors, 2022 - mdpi.com
Near-infrared (800–2500 nm; NIR) spectroscopy coupled to hyperspectral imaging (NIR-
HSI) has greatly enhanced its capability and thus widened its application and use across …
HSI) has greatly enhanced its capability and thus widened its application and use across …
Grass and legume breeding matching the future needs of European grassland farming
Plant breeding can be pivotal to produce new grassland varieties with better adaptation to
changes in seasonal pattern and increased variability of temperature, precipitation and …
changes in seasonal pattern and increased variability of temperature, precipitation and …
[HTML][HTML] Predicting forage quality of species-rich pasture grasslands using vis-NIRS to reveal effects of management intensity and climate change
With a growing human population facing multiple global change drivers (ie climate change
and land management change), the future of food security is of major importance …
and land management change), the future of food security is of major importance …
A Lightweight convolutional neural network for nicotine prediction in tobacco by near-infrared spectroscopy
D Wang, F Zhao, R Wang, J Guo, C Zhang… - Frontiers in Plant …, 2023 - frontiersin.org
The content of nicotine, a critical component of tobacco, significantly influences the quality of
tobacco leaves. Near-infrared (NIR) spectroscopy is a widely used technique for rapid, non …
tobacco leaves. Near-infrared (NIR) spectroscopy is a widely used technique for rapid, non …
Developing an integrated genomic selection approach beyond biomass for varietal protection and nutritive traits in perennial ryegrass (Lolium perenne L.)
MM Malmberg, C Smith, P Thakur, MC Drayton… - Theoretical and Applied …, 2023 - Springer
Key message Breeding target traits can be broadened to include nutritive value and plant
breeder's rights traits in perennial ryegrass by using in-field regression-based spectroscopy …
breeder's rights traits in perennial ryegrass by using in-field regression-based spectroscopy …
[HTML][HTML] Comparing the predictive ability of Sentinel-2 multispectral imagery and a proximal hyperspectral sensor for the estimation of pasture nutritive characteristics …
Using remote sensing to estimate the nutritive characteristics of pasture in livestock systems
is a rapidly developing area that has the potential to improve pasture management and …
is a rapidly developing area that has the potential to improve pasture management and …
Machine learning algorithms to predict forage nutritive value of in situ perennial ryegrass plants using hyperspectral canopy reflectance data
Nutritive value (NV) of forage is too time consuming and expensive to measure routinely in
targeted breeding programs. Non-destructive spectroscopy has the potential to quickly and …
targeted breeding programs. Non-destructive spectroscopy has the potential to quickly and …
Near infrared spectroscopy calibration strategies to predict multiple nutritional parameters of pasture species from different functional groups
KLM Catunda, AC Churchill… - Journal of Near …, 2022 - journals.sagepub.com
Near infrared reflectance (NIR) spectroscopy has been used by the agricultural industry as a
rapid and inexpensive technique to quantify nutritional chemistry in plants. The aim of this …
rapid and inexpensive technique to quantify nutritional chemistry in plants. The aim of this …
Comparing how accurately four different proximal spectrometers can estimate pasture nutritive characteristics: effects of spectral range and data type
AL Thomson, S Vassiliadis, A Copland, D Stayches… - Precision …, 2022 - Springer
The nutrition of grazing ruminants can be optimized by allocating pasture according to its
nutritive characteristics, provided that nutritive concentrations are determined in near-real …
nutritive characteristics, provided that nutritive concentrations are determined in near-real …
机器学习算法在高光谱感知作物信息中的应用及展望
赵金龙， 张学艺， 李阳 - 中国农业气象, 2023 - zgnyqx.ieda.org.cn
机器学习作为一种统计学与计算机科学相结合的新兴技术, 近年来在作物信息获取任务中得到
广泛应用. 传统的作物信息获取方式主要依靠化学检测法, 测定过程耗时, 耗力 …
广泛应用. 传统的作物信息获取方式主要依靠化学检测法, 测定过程耗时, 耗力 …