[HTML][HTML] Breeder friendly phenotyping

M Reynolds, S Chapman, L Crespo-Herrera, G Molero… - Plant Science, 2020 - Elsevier
The word phenotyping can nowadays invoke visions of a drone or phenocart moving swiftly
across research plots collecting high-resolution data sets on a wide array of traits. This has …

An overview of crop nitrogen status assessment using hyperspectral remote sensing: Current status and perspectives

Y Fu, G Yang, R Pu, Z Li, H Li, X Xu, X Song… - European Journal of …, 2021 - Elsevier
Nitrogen (N) is significantly related to crop photosynthetic capacity. Over-and-under-
application of N fertilizers not only limits crop productivity but also leads to negative …

Advances in hyperspectral remote sensing of vegetation and agricultural crops

PS Thenkabail, JG Lyon, A Huete - … , Sensor Systems, Spectral …, 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 …

Review of optical-based remote sensing for plant trait mapping

L Homolová, Z Malenovský, JGPW Clevers… - Ecological …, 2013 - Elsevier
Plant trait data have been used in various studies related to ecosystem functioning,
community ecology, and assessment of ecosystem services. Evidences are that plant …

[HTML][HTML] Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives

H Tao, S Xu, Y Tian, Z Li, Y Ge, J Zhang, Y Wang… - Plant …, 2022 - cell.com
Plant phenomics (PP) has been recognized as a bottleneck in studying the interactions of
genomics and environment on plants, limiting the progress of smart breeding and precise …

Retrieving leaf area index (LAI) using remote sensing: theories, methods and sensors

G Zheng, LM Moskal - Sensors, 2009 - mdpi.com
The ability to accurately and rapidly acquire leaf area index (LAI) is an indispensable
component of process-based ecological research facilitating the understanding of gas …

Estimation of leaf nitrogen content in wheat using new hyperspectral indices and a random forest regression algorithm

L Liang, L Di, T Huang, J Wang, L Lin, L Wang… - Remote Sensing, 2018 - mdpi.com
Novel hyperspectral indices, which are the first derivative normalized difference nitrogen
index (FD-NDNI) and the first derivative ratio nitrogen vegetation index (FD-SRNI), were …

Smart farming technologies–description, taxonomy and economic impact

AT Balafoutis, B Beck, S Fountas, Z Tsiropoulos… - Precision agriculture …, 2017 - Springer
Precision Agriculture is a cyclic optimization process where data have to be collected from
the field, analysed and evaluated and finally used for decision making for site-specific …

Integration of crop growth model and random forest for winter wheat yield estimation from UAV hyperspectral imagery

S Yang, L Hu, H Wu, H Ren, H Qiao… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Accurate and timely crop yield estimation is critical for food security and sustainable
development. The rapid development of unmanned aerial vehicles (UAVs) offers a new …

Using hyperspectral remote sensing techniques to monitor nitrogen, phosphorus, sulphur and potassium in wheat (Triticum aestivum L.)

GR Mahajan, RN Sahoo, RN Pandey, VK Gupta… - Precision …, 2014 - Springer
In situ, non-destructive and real time mineral nutrient stress monitoring is an important
aspect of precision farming for rational use of fertilizers. Studies have demonstrated the …