Results 161 to 170 of about 1,586,837 (305)

Remote estimation of leaf area index (LAI) with unmanned aerial vehicle (UAV) imaging for different rice cultivars throughout the entire growing season. [PDF]

Plant Methods, 2021
Gong Y, Yang K, Lin Z, Fang S, Wu X, Zhu R, Peng Y.   +6 more
europepmc   +1 more source

Assessment of corn chlorophyll content via UAV‐derived vegetative indices across growth stages

Agrosystems, Geosciences &Environment, Volume 9, Issue 4, December 2026.
Abstract Traditional chlorophyll (Chl) assessment methods are labor‐intensive and spatially limited. This study evaluated unmanned aerial vehicle (UAV) multispectral imagery for nondestructive field‐scale canopy Chl estimation in corn (Zea mays L.) to support precision nutrient management.
Aarati Khulal, Huijie Gan, Jitender Rathore, Sheetal Kumari, Ivy Flory, Caleb Bishop, Santosh Rijal, Olga Walsh   +7 more
wiley   +1 more source

Research on aerodynamic stability and position control of unmanned aerial vehicle/carrier-aircraft at close-range-flight

Hangkong gongcheng jinzhan
Aerial recovery，dense flight and aerial refueling of unmanned aerial vehicles（UAVs）all involve flight stability and position control of the vehicle in a close-range interference flow field.
HU Handong, WANG Wenkai, JIANG Xiong, LIU Fujun, SI Fangfang   +4 more
doaj   +1 more source

The Evolution of Terrorism‐Related Injuries in the Sahel: Perspective From Local Surgical Teams

World Journal of Surgery, EarlyView.
S. Yves G. Sanou, Touré Moustapha, Abdoulaye Sanou, Yves Aziz R. Nacanabo, Hannah B. Wild   +4 more
wiley   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source

Advances in Cartography, Mission Planning, Path Search, and Path Following for Drones

Drones
Recently, the rapid advancement and proliferation of drone or unmanned aerial vehicle (UAV) technology have ushered in a new era of possibilities and challenges in various fields [...]
Adrian Marius Deaconu, Razvan Udroiu, Delia Elena Spridon   +2 more
doaj   +1 more source

Developing and deploying an unmanned aerial system–based phenotyping program for maturity to support soybean breeding

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Soybean [Glycine max (L.) Merr.] varieties are categorized into different relative maturity groups (MGs) that correspond to the approximate region that the variety is best adapted. Maturity is an important trait that growers consider when deciding which varieties to plant and for breeders as a covariate to compare genotypes.
Nathaniel Burner, Leonardo M. Bastos, Zenglu Li   +2 more
wiley   +1 more source

A highly accurate, low‐cost method for detecting and quantifying soybean leaf flipping phenotype during drought stress

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract A genome‐wide association study (GWAS) using digital images was conducted to delineate regions of the genome that govern the leaf flipping quantitative trait in soybean (Glycine max (L.) Merr). However, converting the digital data to numerical scores for downstream analyses was challenging.
Mohammad Anisur Rahaman, Atit Parajuli, Adnan Hossain Khan, Liang Dong, Madan K Bhattacharyya   +4 more
wiley   +1 more source

High‐throughput phenotyping for the prediction and quantification of flower‐related traits in sugarcane

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Sugarcane (Saccharum spp.), a C4 plant, is a vital renewable biofuel and sugar source for industries worldwide. However, synchronizing flowering between parental lines often poses challenges for breeders, hindering effective crossbreeding efforts.
Paulo H. da Silva Santos, João R. Vieira Manechini, Carlos Augusto Dias Kanthack Jr., Mauro Alexandre Xavier, Samira Domingues Carlin, Dilermando Perecin, Thiago G. Marconi, Leandro G. Marconi, Elisson Antonio da Costa Romanel, Stephen Derek Jackson, Marcos. G. A. Landell, Luciana R. Pinto   +11 more
wiley   +1 more source

Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Water stress is a major limiting factor for crop productivity worldwide, and its impacts are intensifying due to climate variability and increasing water scarcity. This review focuses on the spatial and temporal scales in plant phenotyping as a critical approach to improving crop water‐stress assessment and supporting precision water ...
Daniel Kingsley Cudjoe, Yazhou Sun, Sanai Li, Wenxuan Guo   +3 more
wiley   +1 more source