Results 21 to 30 of about 42,635 (259)

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

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

Unveiling the Drivers of Unplanned Urbanization: A High-Resolution Night Light Development Index Approach for Assessing Regional Inequality and Urban Growth in Dhaka

Remote Sensing
Rapid unplanned urbanization is a common phenomenon in developing countries and the necessity for making an urban area sustainable and livable is one of the major challenges of today’s world. While the timely identification of the factors contributing to
Kh Shakibul Islam, Qiusheng Wu, Md. Raihanul Islam, Hasan Muhammad Abdullah   +3 more
doaj   +1 more source

Short communication: Laboratory imaging spectroscopy of soil profiles

Journal of Spectral Imaging, 2011
An imaging spectrometer in a laboratory rack was used to examine soil profiles. Images in the 400–1000 nm range wih 4nm spectral resolution and less than 0.1mm spatial resolution of the top 30cm of the soil were acquired.
Henning Buddenbaum, Markus Steffens
doaj   +1 more source

Deep semantic segmentation for the quantification of grape foliar diseases in the vineyard

Frontiers in Plant Science, 2022
Plant disease evaluation is crucial to pathogen management and plant breeding. Human field scouting has been widely used to monitor disease progress and provide qualitative and quantitative evaluation, which is costly, laborious, subjective, and often ...
Ertai Liu, Kaitlin M. Gold, David Combs, Lance Cadle-Davidson, Lance Cadle-Davidson, Yu Jiang   +5 more
doaj   +1 more source

Proximal Remote Sensing Buggies and Potential Applications for Field-Based Phenotyping

Agronomy, 2014
The achievements made in genomic technology in recent decades are yet to be matched by fast and accurate crop phenotyping methods. Such crop phenotyping methods are required for crop improvement efforts to meet expected demand for food and fibre in the ...
David Deery, Jose Jimenez-Berni, Hamlyn Jones, Xavier Sirault, Robert Furbank   +4 more
doaj   +1 more source

A Trillion Coral Reef Colors: Deeply Annotated Underwater Hyperspectral Images for Automated Classification and Habitat Mapping

Data, 2020
This paper describes a large dataset of underwater hyperspectral imagery that can be used by researchers in the domains of computer vision, machine learning, remote sensing, and coral reef ecology.
Ahmad Rafiuddin Rashid, Arjun Chennu
doaj   +1 more source

Continuous Plant-Based and Remote Sensing for Determination of Fruit Tree Water Status

Horticulturae
Climate change poses significant challenges to agricultural productivity, making the efficient management of water resources essential for sustainable crop production.
Alessandro Carella, Pedro Tomas Bulacio Fischer, Roberto Massenti, Riccardo Lo Bianco   +3 more
doaj   +1 more source