Remote-sensing estimation of potato above-ground biomass based on spectral and spatial features extracted from high-definition digital camera images

Y Liu, H Feng, J Yue, Z Li, G Yang, X Song… - … and Electronics in …, 2022 - Elsevier
Above-ground biomass (AGB) is a significant phenotypic index for evaluating
photosynthesis capacity, healthy growth, and estimating crop yield. Accurately monitoring …

Estimation of potato above-ground biomass based on unmanned aerial vehicle red-green-blue images with different texture features and crop height

Y Liu, H Feng, J Yue, X Jin, Z Li, G Yang - Frontiers in plant science, 2022 - frontiersin.org
Obtaining crop above-ground biomass (AGB) information quickly and accurately is
beneficial to farmland production management and the optimization of planting patterns …

[HTML][HTML] Application of UAV multisensor data and ensemble approach for high-throughput estimation of maize phenotyping traits

M Shu, S Fei, B Zhang, X Yang, Y Guo, B Li… - Plant Phenomics, 2022 - spj.science.org
High-throughput estimation of phenotypic traits from UAV (unmanned aerial vehicle) images
is helpful to improve the screening efficiency of breeding maize. Accurately estimating …

The optimal phenological phase of maize for yield prediction with high-frequency UAV remote sensing

B Yang, W Zhu, EE Rezaei, J Li, Z Sun, J Zhang - Remote Sensing, 2022 - mdpi.com
Unmanned aerial vehicle (UAV)-based multispectral remote sensing effectively monitors
agro-ecosystem functioning and predicts crop yield. However, the timing of the remote …

Agro-technological systems in traditional agriculture assistance: A systematic review

N Montalvo-Romero, A Montiel-Rosales… - IEEE …, 2023 - ieeexplore.ieee.org
Guaranteeing food security from agriculture in an uncertain context, derived from the effects
of multiple factors, is a challenge. Traditional agricultural production is the one that faces the …

Advances in the application of Small Unoccupied Aircraft Systems (sUAS) for high-throughput plant phenotyping

IT Ayankojo, KR Thorp, AL Thompson - Remote Sensing, 2023 - mdpi.com
High-throughput plant phenotyping (HTPP) involves the application of modern information
technologies to evaluate the effects of genetics, environment, and management on the …

Exploring multisource feature fusion and stacking ensemble learning for accurate estimation of maize chlorophyll content using unmanned aerial vehicle remote …

W Zhai, C Li, Q Cheng, F Ding, Z Chen - Remote Sensing, 2023 - mdpi.com
Crop chlorophyll content measuring plays a vital role in monitoring crop growth and
optimizing agricultural inputs such as water and fertilizer. However, traditional methods for …

Enhancing wheat above-ground biomass estimation using UAV RGB images and machine learning: Multi-feature combinations, flight height, and algorithm …

W Zhai, C Li, Q Cheng, B Mao, Z Li, Y Li, F Ding, S Qin… - Remote Sensing, 2023 - mdpi.com
Above-ground biomass (AGB) serves as an indicator of crop growth status, and acquiring
timely AGB information is crucial for estimating crop yield and determining appropriate water …

Estimation of maize LAI using ensemble learning and UAV multispectral imagery under different water and fertilizer treatments

Q Cheng, H Xu, S Fei, Z Li, Z Chen - Agriculture, 2022 - mdpi.com
The leaf area index (LAI), commonly used as an indicator of crop growth and physiological
development, is mainly influenced by the degree of water and fertilizer stress. Accurate …

Potato leaf area index estimation using multi-sensor unmanned aerial vehicle (uav) imagery and machine learning

T Yu, J Zhou, J Fan, Y Wang, Z Zhang - Remote Sensing, 2023 - mdpi.com
Potato holds significant importance as a staple food crop worldwide, particularly in
addressing the needs of a growing population. Accurate estimation of the potato Leaf Area …