Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions

K Berger, J Verrelst, JB Féret, Z Wang… - Remote Sensing of …, 2020 - Elsevier
Nitrogen (N) is considered as one of the most important plant macronutrients and proper
management of N therefore is a pre-requisite for modern agriculture. Continuous satellite …

Unmanned aerial vehicle remote sensing for field-based crop phenoty**: current status and perspectives

G Yang, J Liu, C Zhao, Z Li, Y Huang, H Yu… - Frontiers in plant …, 2017 - frontiersin.org
Phenoty** plays an important role in crop science research; the accurate and rapid
acquisition of phenotypic information of plants or cells in different environments is helpful for …

[HTML][HTML] Machine learning-based approaches for predicting SPAD values of maize using multi-spectral images

Y Guo, S Chen, X Li, M Cunha, S Jayavelu… - Remote sensing, 2022 - mdpi.com
Precisely monitoring the growth condition and nutritional status of maize is crucial for
optimizing agronomic management and improving agricultural production. Multi-spectral …

[PDF][PDF] How the optical properties of leaves modify the absorption and scattering of energy and enhance leaf functionality

SL Ustin, S Jacquemoud - Remote sensing of plant biodiversity, 2020 - library.oapen.org
Leaves interact with light in ways that create a spectral footprint of the terrestrial environment
of our planet. Most of the visible light penetrating the Earth's atmosphere is absorbed by …

Improving unmanned aerial vehicle remote sensing-based rice nitrogen nutrition index prediction with machine learning

H Zha, Y Miao, T Wang, Y Li, J Zhang, W Sun, Z Feng… - Remote sensing, 2020 - mdpi.com
Optimizing nitrogen (N) management in rice is crucial for China's food security and
sustainable agricultural development. Nondestructive crop growth monitoring based on …

[HTML][HTML] Wheat yellow rust monitoring by learning from multispectral UAV aerial imagery

J Su, C Liu, M Coombes, X Hu, C Wang, X Xu… - … and electronics in …, 2018 - Elsevier
The use of a low-cost five-band multispectral camera (RedEdge, MicaSense, USA) and a
low-altitude airborne platform is investigated for the detection of plant stress caused by …

Management of crop water under drought: a review

G Bodner, A Nakhforoosh, HP Kaul - Agronomy for Sustainable …, 2015 - Springer
Drought is a predominant cause of low yields worldwide. There is an urgent need for more
water efficient crop** systems facing large water consumption of irrigated agriculture and …

Wheat yellow rust detection using UAV-based hyperspectral technology

A Guo, W Huang, Y Dong, H Ye, H Ma, B Liu, W Wu… - Remote Sensing, 2021 - mdpi.com
Yellow rust is a worldwide disease that poses a serious threat to the safety of wheat
production. Numerous studies on near-surface hyperspectral remote sensing at the leaf …

Advances in hyperspectral remote sensing of vegetation and agricultural crops

PS Thenkabail, JG Lyon, A Huete - Fundamentals, sensor systems …, 2018 - taylorfrancis.com
Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …

Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves

AA Gitelson, Y Gritz, MN Merzlyak - Journal of plant physiology, 2003 - Elsevier
Leaf chlorophyll content provides valuable information about physiological status of plants.
Reflectance measurement makes it possible to quickly and non-destructively assess, in situ …