Data to science: an open-source online platform for managing, visualizing, and publishing UAS data

被引：0

作者：

Jung, Jinha ^{[1
]}

Fei, Songlin ^{[2
]}

Tuinstra, Mitch ^{[3
]}

Yang, Yang ^{[4
]}

Wang, Diane ^{[3
]}

Song, Carol ^{[5
]}

Gillan, Jeffrey ^{[6
]}

Bhandari, Mahendra ^{[7
]}

Ibrahim, Amir ^{[8
]}

Zhao, Lan ^{[5
]}

Swetnam, Tyson ^{[6
]}

Barker, Bryan

Jung, Minyoung ^{[1
]}

Hancock, Ben ^{[1
]}

机构：

[1] Purdue Univ, Lyles Sch Civil Engn, 550 W Stadium Ave, W Lafayette, IN 47907 USA

[2] Purdue Univ, Dept Forestry & Nat Resources, 715 W State St, W Lafayette, IN 47907 USA

[3] Purdue Univ, Dept Agron, 915 W State St, W Lafayette, IN 47907 USA

[4] Purdue Univ, Inst Plant Sci, 915 W State St, W Lafayette, IN 47907 USA

[5] Purdue Univ, Rosen Ctr Adv Comp, 101 Foundry Dr, W Lafayette, IN 47906 USA

[6] Univ Arizona, Inst BIO5, 1657 E Helen St, Tucson, AZ 85719 USA

[7] Texas A&M AgriLife Res, Soil & Crop Sci, Corpus Christi, TX USA

[8] Texas A&M Univ, Heep Ctr, Dept Soil & Crop Sci, 370 Olsen Blvd, College Stn, TX 77843 USA

来源：

AUTONOMOUS AIR AND GROUND SENSING SYSTEMS FOR AGRICULTURAL OPTIMIZATION AND PHENOTYPING IX | 2024年 / 13053卷

基金：

美国食品与农业研究所;

关键词：

Unoccupied Aircraft System (UAS); High Throughput Phenotyping (HTP); Big Data; FAIR Principle; Open Data Science;

D O I：

10.1117/12.3021199

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

Recent advancements in sensor technologies make it possible to collect fine spatial and high temporal resolution remote sensing data and automatically extract informative features in a high throughput mode. As researchers increasingly have access to tools to collect big data, such as Unmanned Aerial Vehicles (UAV) and Controlled Environment Phenotyping Facility (CEPF), there is a need for generating quantitative phenotypic from the collected geospatial data. While precision agriculture technology aims to protect our environment and produce enough food to feed a growing population, the massive volume of geospatial data generated by the research scientists and the lack of software packages customized for processing these data make it challenging to develop transdisciplinary research collaboration around this data. We will share our efforts to develop an open-source online platform for UAS HTP data management to address the big data challenges.

引用

页数：4

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