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Wireless Fixed Camera Network for Greenhouse-Based Plant Phenotyping.

Methods in molecular biology (Clifton, N.J.) · 1 Jan 2022 · 10.1007/978-1-0716-2537-8_6

Abstract

An indoor wireless fixed camera network was developed for an efficient, cost-effective method of extracting informative plant phenotypes in a controlled greenhouse environment. Deployed at the Donald Danforth Plant Science Center (DDPSC), this fixed camera platform implements rapid and automated plant phenotyping. The platform uses low-cost Raspberry Pi computers and digital cameras to monitor aboveground morphological and developmental plant phenotypes. The Raspberry Pi is a readily programmable, credit card-sized computer board with remote accessibility. A standard camera module connects to the Raspberry Pi computer board and generates eight-megapixel resolution images. With a fixed array, or "bramble," of Raspberry Pi computer boards and camera modules placed strategically in a greenhouse, we can capture automated, high-resolution images for 3D reconstructions of individual plants on timescales ranging from minutes to hours, capturing temporal changes in plant phenotypes.

Plant phenotyping relevance

温室内の固定カメラネットワークを開発し、植物形態・発達形質の自動画像取得と3D再構成を行うことが研究の中心であるため、植物フェノタイピング手法として含める。

abstractAn indoor wireless fixed camera network was developed for an efficient, cost-effective method of extracting informative plant phenotypes in a controlled greenhouse environment.
abstractWith a fixed array, or "bramble," of Raspberry Pi computer boards and camera modules placed strategically in a greenhouse, we can capture automated, high-resolution images for 3D reconstructions of individual plants on timescales ranging from minutes to hours, capturing temporal changes in plant phenotypes.

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