Development of a Miniaturized Mobile Mapping System for In-Row, Under-Canopy Phenotyping

Manish, Raja; Lin, Yi-Chun; Ravi, Radhika; Hasheminasab, Seyyed Meghdad; Zhou, Tian; Habib, Ayman

doi:10.3390/rs13020276

Development of a Miniaturized Mobile Mapping System for In-Row, Under-Canopy Phenotyping

Journal Article · Thu Jan 14 00:00:00 EST 2021 · Remote Sensing

DOI:https://doi.org/10.3390/rs13020276· OSTI ID:1848208

Manish, Raja ^[1]; ^[2]; ^[2]; ^[2]; ^[2]; ^[2]

Purdue Univ., West Lafayette, IN (United States). Lyles School of Civil Engineering; Purdue Univ., West Lafayette, IN (United States)
Purdue Univ., West Lafayette, IN (United States). Lyles School of Civil Engineering

This paper focuses on the development of a miniaturized mobile mapping platform with advantages over current agricultural phenotyping systems in terms of acquiring data that facilitate under-canopy plant trait extraction. The system is based on an unmanned ground vehicle (UGV) for in-row, under-canopy data acquisition to deliver accurately georeferenced 2D and 3D products. The paper addresses three main aspects pertaining to the UGV development: (a) architecture of the UGV mobile mapping system (MMS), (b) quality assessment of acquired data in terms of georeferencing information as well as derived 3D point cloud, and (c) ability to derive phenotypic plant traits using data acquired by the UGV MMS. The experimental results from this study demonstrate the ability of the UGV MMS to acquire dense and accurate data over agricultural fields that would facilitate highly accurate plant phenotyping (better than above-canopy platforms such as unmanned aerial systems and high-clearance tractors). Plant centers and plant count with an accuracy in the 90% range have been achieved.

View Accepted Manuscript (DOE)

Research Organization:: Purdue University, West Lafayette, IN (United States)

Sponsoring Organization:: USDOE Advanced Research Projects Agency - Energy (ARPA-E)

Grant/Contract Number:: AR0000593

OSTI ID:: 1848208

Journal Information:: Remote Sensing, Journal Name: Remote Sensing Journal Issue: 2 Vol. 13; ISSN 2072-4292

Publisher:: MDPICopyright Statement

Country of Publication:: United States

Language:: English

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Development of a Miniaturized Mobile Mapping System for In-Row, Under-Canopy Phenotyping

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