229   Artículos

 
en línea
Matija Milanic and Rok Hren    
The Adding-Doubling (AD) algorithm is a general analytical solution of the radiative transfer equation (RTE). AD offers a favorable balance between accuracy and computational efficiency, surpassing other RTE solutions, such as Monte Carlo (MC) simulation... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Lei Sun, Chongchong Yang, Jun Wang, Xiwen Cui, Xuesong Suo, Xiaofei Fan, Pengtao Ji, Liang Gao and Yuechen Zhang    
Existing maize production is grappling with the hurdles of not applying nitrogen fertilizer accurately due to subpar detection accuracy and responsiveness. This situation presents a significant challenge, as it has the potential to impact the optimal yie... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Leonardo Pinto de Magalhães and Fabrício Rossi    
In the cultivation of maize, the leaf area index (LAI) serves as an important metric to determine the development of the plant. Unmanned aerial vehicles (UAVs) that capture RGB images, along with random forest regression (RFR), can be used to indirectly ... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
José Luis Hernández-Martínez, Jorge Adrián Perera-Burgos, Gilberto Acosta-González, Jesús Alvarado-Flores, Yanmei Li and Rosa María Leal-Bautista    
Remote sensing is an invaluable research tool for the analysis of marine and terrestrial water bodies. However, it has some technical limitations in waters with oligotrophic conditions or close to them due to the low spectral response of some water param... ver más
Revista: Water    Formato: Electrónico

 
en línea
Luís P. N. Mendes, Ana M. C. Ricardo, Alexandre J. M. Bernardino and Rui M. L. Ferreira    
We present novel velocimetry algorithms based on the hybridization of correlation-based Particle Image Velocimetry (PIV) and a combination of Lucas?Kanade and Liu?Shen optical flow (OpF) methods. An efficient Aparapi/OpenCL implementation of those method... ver más
Revista: Water    Formato: Electrónico

 
en línea
Xuanshuo Shi, Zhongfeng Qiu, Yunjian Hu, Dongzhi Zhao, Aibo Zhao, Hui Lin, Yating Zhan, Yu Wang and Yuanzhi Zhang    
Remote sensing technology plays a crucial role in the rapid and wide-scale monitoring of water quality, which is of great significance for water pollution prevention and control. In this study, the downstream and nearshore areas of the Huaihe River Basin... ver más
Revista: Water    Formato: Electrónico

 
en línea
Omnia H. Salem and Zhonghua Jia    
Detecting and monitoring changes in soil salinity through remote sensing provides an opportunity for field assessment in regions where on-site measurements are limited. This research, conducted in Siwa Oasis, Egypt, aimed to assess the effectiveness of r... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Sadia Alam Shammi, Yanbo Huang, Gary Feng, Haile Tewolde, Xin Zhang, Johnie Jenkins and Mark Shankle    
The application of remote sensing, which is non-destructive and cost-efficient, has been widely used in crop monitoring and management. This study used a built-in multispectral imager on a small unmanned aerial vehicle (UAV) to capture multispectral imag... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Yuanyuan Shao, Shengheng Ji, Guantao Xuan, Yanyun Ren, Wenjie Feng, Huijie Jia, Qiuyun Wang and Shuguo He    
The objective is to develop a portable device capable of promptly identifying root rot in the field. This study employs hyperspectral imaging technology to detect root rot by analyzing spectral variations in chili pepper leaves during times of health, in... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Adriano Mancini, Francesco Solfanelli, Luca Coviello, Francesco Maria Martini, Serena Mandolesi and Raffaele Zanoli    
Yield prediction is a crucial activity in scheduling agronomic operations and in informing the management and financial decisions of a wide range of stakeholders of the organic durum wheat supply chain. This research aims to develop a yield forecasting s... ver más
Revista: Agronomy    Formato: Electrónico

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