Vasit相关文献与解析，生知库 | 链接生命科学的每一步

日期影响因子

Spectral enhancement of PlanetScope using Sentinal-2 images to estimate soybean yield and seed composition

利用Sentinel-2影像对PlanetScope进行光谱增强，以估算大豆产量和种子成分。

期刊:Scientific Reports

影响因子:3.9

doi:10.1038/s41598-024-63650-3

Sarkar, Supria; Sagan, Vasit; Bhadra, Sourav; Fritschi, Felix B

发表日期：2024

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Fusion of Visible and Infrared Aerial Images from Uncalibrated Sensors Using Wavelet Decomposition and Deep Learning

基于小波分解和深度学习的未校准传感器可见光和红外航空图像融合

影响因子:3.5

doi:10.3390/s24248217

Vipparla, Chandrakanth; Krock, Timothy; Nouduri, Koundinya; Fraser, Joshua; AliAkbarpour, Hadi; Sagan, Vasit; Cheng, Jing-Ru C; Kannappan, Palaniappan

发表日期：2024

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UAV Multisensory Data Fusion and Multi-Task Deep Learning for High-Throughput Maize Phenotyping

无人机多传感器数据融合和多任务深度学习在玉米高通量表型分析中的应用

影响因子:3.5

doi:10.3390/s23041827

Nguyen, Canh; Sagan, Vasit; Bhadra, Sourav; Moose, Stephen

发表日期：2023

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A global examination of ecological niche modeling to predict emerging infectious diseases: a systematic review

全球范围内对生态位模型在预测新发传染病中的应用进行系统性综述

期刊:Frontiers in Public Health

影响因子:3.4

doi:10.3389/fpubh.2023.1244084

Lawrence, Ted J; Takenaka, Bryce P; Garg, Aastha; Tao, Donghua; Deem, Sharon L; Fèvre, Eric M; Gluecks, Ilona; Sagan, Vasit; Shacham, Enbal

发表日期：2023

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A New Optical Remote Sensing Technique for High-Resolution Mapping of Soil Moisture

一种用于高分辨率土壤湿度测绘的新型光学遥感技术

期刊:Frontiers in Big Data

影响因子:2.3

doi:10.3389/fdata.2019.00037

Babaeian, Ebrahim; Sidike, Paheding; Newcomb, Maria S; Maimaitijiang, Maitiniyazi; White, Scott A; Demieville, Jeffrey; Ward, Richard W; Sadeghi, Morteza; LeBauer, David S; Jones, Scott B; Sagan, Vasit; Tuller, Markus

发表日期：2019

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Machine-learning-based quantitative estimation of soil organic carbon content by VIS/NIR spectroscopy

基于机器学习的可见光/近红外光谱法定量估算土壤有机碳含量

影响因子:2.4

doi:10.7717/peerj.5714

Ding, Jianli; Yang, Aixia; Wang, Jingzhe; Sagan, Vasit; Yu, Danlin

发表日期：2018

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