SPOT: Scanning plant IoT facility for high-throughput plant phenotyping

被引：2

作者：

Lantin, Stephen ^{[1
]}

McCourt, Kelli ^{[1
,2
]}

Butcher, Nicholas ^{[3
]}

Puri, Varun ^{[4
]}

Esposito, Martha ^{[1
]}

Sanchez, Sasha ^{[1
]}

Ramirez-Loza, Francisco ^{[1
]}

McLamore, Eric ^{[5
]}

Correll, Melanie ^{[1
]}

Singh, Aditya ^{[1
]}

机构：

[1] Univ Florida, Dept Agr & Biol Engn, Gainesville, FL 32611 USA

[2] Clemson Univ, Dept Environm Engn & Earth Sci, Clemson, SC 29634 USA

[3] Univ Florida, Dept Mech & Aerosp Engn, Gainesville, FL 32611 USA

[4] Univ Florida, Dept Comp & Informat Sci & Engn, Gainesville, FL 32611 USA

[5] Clemson Univ, Dept Agr Sci, Clemson, SC 29634 USA

来源：

HARDWAREX | 2023年 / 15卷

关键词：

Plant phenotyping; Hyperspectral imaging; Thermal imaging; Remote sensing; Plant breeding;

D O I：

10.1016/j.ohx.2023.e00468

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Many plant phenotyping platforms have been kept out of the reach of smaller labs and institutions due to high cost and proprietary software. The Scanning Plant IoT (SPOT) Facility, located at the University of Florida, is a mobile, laboratory-based platform that facilitates open-source collection of high-quality, interoperable plant phenotypic data. It consists of three main sensors: a hyperspectral sensor, a thermal camera, and a LiDAR camera. Real-time data from the sensors can be collected in its 10 ft. x 10 ft. scanning region. The mobility of the device allows its use in large growth chambers, environmentally controlled rooms, or greenhouses. Sensors are oriented nadir and positioned via computer numerical control of stepper motors. In a preliminary experiment, data gathered from SPOT was used to autonomously and nondestructively differentiate between cultivars.

引用

页数：16

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