Recent advances of hyperspectral imaging technology and applications in agriculture
Remote sensing is a useful tool for monitoring spatio-temporal variations of crop
morphological and physiological status and supporting practices in precision farming. In …
morphological and physiological status and supporting practices in precision farming. In …
Smart farming in Europe
Smart Farming is the new term in the agriculture sector, aiming to transform the traditional
techniques to innovative solutions based on Information Communication Technologies …
techniques to innovative solutions based on Information Communication Technologies …
Application of machine learning algorithms in plant breeding: predicting yield from hyperspectral reflectance in soybean
Recent substantial advances in high-throughput field phenotyping have provided plant
breeders with affordable and efficient tools for evaluating a large number of genotypes for …
breeders with affordable and efficient tools for evaluating a large number of genotypes for …
High resolution mapping of soil properties using remote sensing variables in south-western Burkina Faso: a comparison of machine learning and multiple linear …
Accurate and detailed spatial soil information is essential for environmental modelling, risk
assessment and decision making. The use of Remote Sensing data as secondary sources of …
assessment and decision making. The use of Remote Sensing data as secondary sources of …
Remote sensing approaches for monitoring mangrove species, structure, and biomass: Opportunities and challenges
The mangrove ecosystem plays a vital role in the global carbon cycle, by reducing
greenhouse gas emissions and mitigating the impacts of climate change. However …
greenhouse gas emissions and mitigating the impacts of climate change. However …
Improving accuracy estimation of Forest Aboveground Biomass based on incorporation of ALOS-2 PALSAR-2 and Sentinel-2A imagery and machine learning: A case …
The main objective of this research is to investigate the potential combination of Sentinel-2A
and ALOS-2 PALSAR-2 (Advanced Land Observing Satellite-2 Phased Array type L-band …
and ALOS-2 PALSAR-2 (Advanced Land Observing Satellite-2 Phased Array type L-band …
High-throughput phenotyping of maize leaf physiological and biochemical traits using hyperspectral reflectance
CR Yendrek, T Tomaz, CM Montes, Y Cao… - Plant …, 2017 - academic.oup.com
High-throughput, noninvasive field phenotyping has revealed genetic variation in crop
morphological, developmental, and agronomic traits, but rapid measurements of the …
morphological, developmental, and agronomic traits, but rapid measurements of the …
[HTML][HTML] High-throughput field phenotyping using hyperspectral reflectance and partial least squares regression (PLSR) reveals genetic modifications to …
Spectroscopy is becoming an increasingly powerful tool to alleviate the challenges of
traditional measurements of key plant traits at the leaf, canopy, and ecosystem scales …
traditional measurements of key plant traits at the leaf, canopy, and ecosystem scales …
High-resolution UAV-based hyperspectral imagery for LAI and chlorophyll estimations from wheat for yield prediction
The efficient use of nitrogen fertilizer is a crucial problem in modern agriculture. Fertilization
has to be minimized to reduce environmental impacts but done so optimally without …
has to be minimized to reduce environmental impacts but done so optimally without …
Field spectroscopy of canopy nitrogen concentration in temperate grasslands using a convolutional neural network
RR Pullanagari, M Dehghan-Shoar, IJ Yule… - Remote Sensing of …, 2021 - Elsevier
As an essential feature of plant autotrophy, Nitrogen (N) is the major nutrient affecting plant
growth in terrestrial ecosystems, thus is of not only fundamental scientific interest, but also a …
growth in terrestrial ecosystems, thus is of not only fundamental scientific interest, but also a …