Results 21 to 30 of about 1,155,572 (286)

Professor: A motorized field-based phenotyping cart

HardwareX, 2018
An easy-to-customize, low-cost, low disturbance, motorized, and adjustable proximal sensing cart for field-based high-throughput phenotyping is described. General dimensions, motor specifications, and a remote operation application are given.
Alison L. Thompson, Alex Conrad, Matthew M. Conley, Henry Shrock, Bryce Taft, Charles Miksch, Talon Mills, John M. Dyer   +7 more
doaj   +1 more source

miR-127 protects proximal tubule cells against ischemia/reperfusion : identification of Kinesin family member 3B as miR-127 target [PDF]

, 2012
Ischemia/reperfusion (I/R) is at the basis of renal transplantation and acute kidney injury. Molecular mechanisms underlying proximal tubule response to I/R will allow the identification of new therapeutic targets for both clinical settings.
Cuppen, E., Bernhard Brüne, David Sáenz-Morales (139779), Konstantinos Stamatakis (139787), Stamatakis, K., Ramos, Edurne, Elisa Conde, Edurne Ramos (139777), Ramos, E., García Bermejo, María Laura, Blanco-Sanchez, I., Edwin Cuppen, Sáenz-Morales, David, Brune, B., Conde, E., Ignacio Blanco-Sánchez (139784), Bermejo, M.L., Luis del Peso (133134), Edwin Cuppen (9902), Stamatakis Andriani, Konstantinos, Stamatakis, Konstantinos, Peso, Luis del, del Peso, Luis, María Laura García Bermejo (139790), Saenz-Morales, D., Conde, Elisa, Konstantinos Stamatakis, María Laura García Bermejo, Edurne Ramos, Aguado-Fraile, Elia, Aguado-Fraile, E., del Peso, L., Ignacio Blanco-Sánchez, Blanco-Sánchez, Ignacio, Brüne, Bernhard, Bernhard Brüne (131193), Cuppen, Edwin, Elia Aguado-Fraile (139775), Elisa Conde (139781), Elia Aguado-Fraile, Luis del Peso, David Sáenz-Morales, Bermejo María Laura García, Sáenz-Morales David, García-Bermejo, María Laura, Aguado-Fraile Elia, del Peso Luis, Conde Elisa, Blanco-Sánchez Ignacio, Ramos Edurne, Brüne Bernhard, Stamatakis Konstantinos, Cuppen Edwin   +52 more
core   +2 more sources

Proximal hyperspectral sensing and data analysis approaches for field-based plant phenomics [PDF]

, 2015
Field-based plant phenomics requires robust crop sensing platforms and data analysis tools to successfully identify cultivars that exhibit phenotypes with high agronomic and economic importance.
Andrade-Sanchez, P., White, J. W., Welch, S. M., French, A. N., Thorp, K. R., Gore, M. A., Carmo-Silva, A. E.   +6 more
core   +1 more source

Thermal Imaging for Plant Stress Detection and Phenotyping

Remote Sensing, 2020
In the last few years, large efforts have been made to develop new methods to optimize stress detection in crop fields. Thus, plant phenotyping based on imaging techniques has become an essential tool in agriculture.
Mónica Pineda, Matilde Barón, María-Luisa Pérez-Bueno   +2 more
doaj   +1 more source

Comparing a New Non-Invasive Vineyard Yield Estimation Approach Based on Image Analysis with Manual Sample-Based Methods

Agronomy, 2022
Manual vineyard yield estimation approaches are easy to use and can provide relevant information at early stages of plant development. However, such methods are subject to spatial and temporal variability as they are sample-based and dependent on ...
Gonçalo Victorino, Ricardo P. Braga, José Santos-Victor, Carlos M. Lopes   +3 more
doaj   +1 more source

Genome-Wide Association Studies of Soybean Yield-Related Hyperspectral Reflectance Bands Using Machine Learning-Mediated Data Integration Methods

Frontiers in Plant Science, 2021
In conjunction with big data analysis methods, plant omics technologies have provided scientists with cost-effective and promising tools for discovering genetic architectures of complex agronomic traits using large breeding populations.
Mohsen Yoosefzadeh-Najafabadi, Sepideh Torabi, Dan Tulpan, Istvan Rajcan, Milad Eskandari   +4 more
doaj   +1 more source

Assessment of Nitrogen Nutrition Index of Winter Wheat Canopy from Visible Images for a Dynamic Monitoring of N Requirements

Remote Sensing, 2023
Hand-held chlorophyll meters or leaf-clip-type sensors indirectly and instantaneously measure leaf N content. They can provide an N nutrition index (NNI) value that is crucial information for adjusting the amount of N fertilizer to the actual N status of
Christelle Gée, Emmanuel Denimal, Maël de Yparraguirre, Laurence Dujourdy, Anne-Sophie Voisin   +4 more
doaj   +1 more source

A Framework for High-Resolution Mapping of Soil Organic Matter (SOM) by the Integration of Fourier Mid-Infrared Attenuation Total Reflectance Spectroscopy (FTIR-ATR), Sentinel-2 Images, and DEM Derivatives

Remote Sensing, 2023
Soil organic matter (SOM), as the greatest carbon storage in the terrestrial environment, is inextricably related to the global carbon cycle and global climate change.
Xuebin Xu, Changwen Du, Fei Ma, Zhengchao Qiu, Jianmin Zhou   +4 more
doaj   +1 more source

Assessment of a Proximal Sensing-integrated Crop Model for Simulation of Soybean Growth and Yield

, 2020
A remote sensing-integrated crop model (RSCM) able to simulate crop growth processes using proximal or remote sensing data was formulated for simulation of soybean through estimating parameters required for modelling.
Dong Kwan Kim, Jonghan Ko, Han-Yong Kim, Bokeun Ha, Ashifur Rahman Shawon, Seungtaek Jeong   +5 more
core   +1 more source

Mitigation of Water-Deficit Stress in Soybean by Seaweed Extract: The Integrated Approaches of UAV-Based Remote Sensing and a Field Trial

Drones
In recent years, global agriculture has encountered several challenges exacerbated by the effects of changes in climate, such as extreme water shortages for irrigation and heat waves.
Md. Raihanul Islam, Hasan Muhammad Abdullah, Md Farhadur Rahman, Mahfuzul Islam, Abdul Kaium Tuhin, Md Ashiquzzaman, Kh Shakibul Islam, Daniel Geisseler   +7 more
doaj   +1 more source