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 …

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 …

Predicting canopy nitrogen content in citrus-trees using random forest algorithm associated to spectral vegetation indices from UAV-imagery

L Prado Osco, AP Marques Ramos, D Roberto Pereira… - Remote Sensing, 2019 - mdpi.com
The traditional method of measuring nitrogen content in plants is a time-consuming and
labor-intensive task. Spectral vegetation indices extracted from unmanned aerial vehicle …

UAV LiDAR metrics for monitoring crop height, biomass and nitrogen uptake: a case study on a winter wheat field trial

C Hütt, A Bolten, H Hüging, G Bareth - PFG–Journal of Photogrammetry …, 2023 - Springer
Efficient monitoring of crop traits such as biomass and nitrogen uptake is essential for an
optimal application of nitrogen fertilisers. However, currently available remote sensing …

Investigating the potential of a newly developed uav-mounted vnir/swir imaging system for monitoring crop traits—a case study for winter wheat

A Jenal, H Hüging, HE Ahrends, A Bolten, J Bongartz… - Remote Sensing, 2021 - mdpi.com
UAV-based multispectral multi-camera systems are widely used in scientific research for non-
destructive crop traits estimation to optimize agricultural management decisions. These …

Development of a VNIR/SWIR multispectral imaging system for vegetation monitoring with unmanned aerial vehicles

A Jenal, G Bareth, A Bolten, C Kneer, I Weber… - Sensors, 2019 - mdpi.com
Short-wave infrared (SWIR) imaging systems with unmanned aerial vehicles (UAVs) are
rarely used for remote sensing applications, like for vegetation monitoring. The reasons are …

[HTML][HTML] Multi-scale monitoring of rice aboveground biomass by combining spectral and textural information from UAV hyperspectral images

T Xu, F Wang, Z Shi, Y Miao - … Journal of Applied Earth Observation and …, 2024 - Elsevier
Selecting the appropriate unmanned aerial vehicle flight height is beneficial for increasing
the monitoring efficiency. We firstly used an unmanned aerial vehicle to explore the scale …

Determining spatiotemporal distribution of macronutrients in a cornfield using remote sensing and a deep learning model

M Jaihuni, F Khan, D Lee, JK Basak, A Bhujel… - IEEE …, 2021 - ieeexplore.ieee.org
Fertilizer misapplications have induced widespread environmental deteriorations, climatic
catastrophes, and economic losses; meanwhile, the Precision Agriculture (PA) …

Integration of ultrasonic and optical sensing systems to assess sugarcane biomass and N-uptake

G Portz, JP Molin, TF Canata, VI Adamchuk - Precision Agriculture, 2024 - Springer
Crop canopy optical reflectance and ultrasonic sensors provide a means of estimating the
spatial variability of biomass and nitrogen uptake by sugarcane during the in-season period …

[HTML][HTML] Assessing Nitrate Leaching and Runoff Coefficients in the Dynamic Interplay of Seasonal Crop Biomass: A Study of Surface and Groundwater Nitrate …

BG Assa, A Bhowmick, BE Cholo - Environmental Advances, 2024 - Elsevier
Effective water resource management and sustainable agricultural practices are contingent
upon a thorough understanding of nitrate dynamics. This study investigates the utilization of …