Estimation of above-ground biomass of winter wheat based on consumer-grade multi-spectral UAV

F Wang, M Yang, L Ma, T Zhang, W Qin, W Li, Y Zhang… - Remote Sensing, 2022 - mdpi.com
One of the problems of optical remote sensing of crop above-ground biomass (AGB) is that
vegetation indices (VIs) often saturate from the middle to late growth stages. This study …

Suitability of satellite remote sensing data for yield estimation in northeast Germany

C Vallentin, K Harfenmeister, S Itzerott… - Precision …, 2022 - Springer
Abstract Information provided by satellite data is becoming increasingly important in the field
of agriculture. Estimating biomass, nitrogen content or crop yield can improve farm …

A methodology based on GEOBIA and WorldView-3 imagery to derive vegetation indices at tree crown detail in olive orchards

F Solano, S Di Fazio, G Modica - … Journal of Applied Earth Observation and …, 2019 - Elsevier
Precision agriculture (PA) is becoming an essential practice for the implementation of
sustainable agriculture that encompasses the efficient use of resources and a systematic …

Performance comparison of RGB and multispectral vegetation indices based on machine learning for estimating Hopea hainanensis SPAD values under different …

Y Yuan, X Wang, M Shi, P Wang - Frontiers in Plant Science, 2022 - frontiersin.org
Reasonable cultivation is an important part of the protection work of endangered species.
The timely and nondestructive monitoring of chlorophyll can provide a basis for the accurate …

Comparison of different regression models and validation techniques for the assessment of wheat leaf area index from hyperspectral data

B Siegmann, T Jarmer - International journal of remote sensing, 2015 - Taylor & Francis
Leaf area index (LAI) is one of the most important plant parameters when observing
agricultural crops and a decisive factor for yield estimates. Remote-sensing data provide …

[HTML][HTML] Remotely-sensed assessment of the impact of century-old biochar on chicory crop growth using high-resolution UAV-based imagery

RH Dehkordi, A Denis, J Fouche, V Burgeon… - International Journal of …, 2020 - Elsevier
In recent years, special attention has been given to the long-term effects of biochar on the
performance of agro-ecosystems owing to its potential for improving soil fertility, harvested …

Using UAV collected RGB and multispectral images to evaluate winter wheat performance across a site characterized by century-old biochar patches in Belgium

R Heidarian Dehkordi, V Burgeon, J Fouche… - Remote Sensing, 2020 - mdpi.com
Remote sensing data play a crucial role in monitoring crop dynamics in the context of
precision agriculture by characterizing the spatial and temporal variability of crop traits. At …

Towards an Improved High-Throughput Phenotyping Approach: Utilizing MLRA and Dimensionality Reduction Techniques for Transferring Hyperspectral Proximal …

R Heidarian Dehkordi, G Candiani, F Nutini… - Remote Sensing, 2024 - mdpi.com
At present, it is critical to accurately monitor wheat crops to help decision-making processes
in precision agriculture. This research aims to retrieve various wheat crop traits from …

Canopy spectral reflectance can predict grain nitrogen use efficiency in soft red winter wheat

K Pavuluri, BK Chim, CA Griffey, MS Reiter, M Balota… - Precision …, 2015 - Springer
Canopy spectral reflectance (CSR) is a cost-effective, rapid, and non-destructive remote
sensing and selection tool that can be employed in high throughput plant phenotypic …

Multispectral Image Determination of Water Content in Aquilaria sinensis Based on Machine Learning

P Wang, Y Wu, X Wang, M Shi, X Chen, Y Yuan - Forests, 2023 - mdpi.com
The real-time nondestructive monitoring of plant water content can enable operators to
understand the water demands of crops in a timely manner and provide a reliable basis for …