Applications of hyperspectral imaging in plant phenotyping

R Sarić, VD Nguyen, T Burge, O Berkowitz… - Trends in plant …, 2022 - cell.com
Our ability to interrogate and manipulate the genome far exceeds our capacity to measure
the effects of genetic changes on plant traits. Much effort has been made recently by the …

High-throughput estimation of crop traits: A review of ground and aerial phenotyping platforms

X Jin, PJ Zarco-Tejada, U Schmidhalter… - … and Remote Sensing …, 2020 - ieeexplore.ieee.org
Crop yields need to be improved in a sustainable manner to meet the expected worldwide
increase in population over the coming decades as well as the effects of anticipated climate …

Soybean yield prediction from UAV using multimodal data fusion and deep learning

M Maimaitijiang, V Sagan, P Sidike, S Hartling… - Remote sensing of …, 2020 - Elsevier
Preharvest crop yield prediction is critical for grain policy making and food security. Early
estimation of yield at field or plot scale also contributes to high-throughput plant phenotyping …

[HTML][HTML] High-throughput phenotyping: Breaking through the bottleneck in future crop breeding

P Song, J Wang, X Guo, W Yang, C Zhao - The Crop Journal, 2021 - Elsevier
With the rapid development of genetic analysis techniques and crop population size,
phenotyping has become the bottleneck restricting crop breeding. Breaking through this …

Assessment for crop water stress with infrared thermal imagery in precision agriculture: A review and future prospects for deep learning applications

Z Zhou, Y Majeed, GD Naranjo… - … and Electronics in …, 2021 - Elsevier
With the increasing global water scarcity, efficient assessment methods for crop water stress
have become a prerequisite to perform precision irrigation scheduling. The 1accessibility of …

Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine

M Maimaitijiang, A Ghulam, P Sidike, S Hartling… - ISPRS Journal of …, 2017 - Elsevier
Estimating crop biophysical and biochemical parameters with high accuracy at low-cost is
imperative for high-throughput phenotyping in precision agriculture. Although fusion of data …

Crop monitoring using satellite/UAV data fusion and machine learning

M Maimaitijiang, V Sagan, P Sidike, AM Daloye… - Remote Sensing, 2020 - mdpi.com
Non-destructive crop monitoring over large areas with high efficiency is of great significance
in precision agriculture and plant phenotyping, as well as decision making with regards to …

What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture?

ER Hunt Jr, CST Daughtry - International journal of remote sensing, 2018 - Taylor & Francis
Remote sensing from unmanned aircraft systems (UAS) was expected to be an important
new technology to assist farmers with precision agriculture, especially crop nutrient …

Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep learning

V Sagan, M Maimaitijiang, S Bhadra… - ISPRS journal of …, 2021 - Elsevier
Agricultural management at field-scale is critical for improving yield to address global food
security, as providing enough food for the world's growing population has become a wicked …

Yield estimation in cotton using UAV-based multi-sensor imagery

A Feng, J Zhou, ED Vories, KA Sudduth… - Biosystems Engineering, 2020 - Elsevier
Highlights•Site-specific cotton yield estimation was conducted.•The performance of multiple
image sensors were evaluated.•Data were registered based on image features.•Methods …