Measuring canopy height in soybean and wheat using a low‐cost depth camera

Morrison, Malcolm J.; Gahagan, A. Claire; Lefebvre, Marc

doi:10.1002/ppj2.20019

Cited by 3 publications

(1 citation statement)

References 11 publications

(26 reference statements)

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“…To calculate plant height (HT) we used the methodology described in Morrison et al [17]. Briefly, depth arrays from the D415 camera were filtered for extreme values, and to remove sensor noise from the matrix.…”

Section: Data Management Image Analysis and Data Processingmentioning

confidence: 99%

PlotCam: A handheld proximal phenomics platform

et al. 2023

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Future crop varieties must be higher yielding, stress resilient and climate agile to feed a larger population, and overcome the effects of climate change. This will only be achieved by a fusion of plant breeding with multiple “omic” sciences. Field-based, proximal phenomics assesses plant growth and responses to stress and agronomic treatments, in a given environment, over time and requires instruments capable of capturing data, quickly and reliably. We designed the PlotCam following the concepts of cost effective phenomics, being low-cost, light-weight (6.8 kg in total) and portable with rapid and repeatable data collection at high spatial resolution. The platform consisted of a telescoping, square carbon fiber unipod, which allowed for data collection from many heights. A folding arm held the sensor head at the nadir position over the plot, and an accelerometer in the arm ensured the sensor head was level at the time of data acquisition. A computer mounted on the unipod ran custom software for data collection. RGB images were taken with an 18 MP, WiFi controlled camera, infrared thermography data was captured with a 0.3 MP infrared camera, and canopy height measured with a 0.3 MP stereo depth camera. Incoming light and air temperature were logged with every image. New operators were quickly trained to gather reliable and repeatable data and an experienced operator could image up to 300 plots per hour. The PlotCam platform was not limited by field design or topography. Multiple identical PlotCams permitted the study of larger populations generating phenomic information useful in variety improvement. We present examples of data collected with the PlotCam over field soybean experiments to show the effectiveness of the platform.

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Section: Data Management Image Analysis and Data Processingmentioning

confidence: 99%

PlotCam: A handheld proximal phenomics platform

et al. 2023

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The Height Pole: Measuring plot height using a single‐point LiDAR sensor

Morrison,

Gahagan,

Hotte

et al. 2024

The Plant Phenome Journal

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Plant canopy height is an essential trait for phenomics and plant breeding. Despite its importance, height is still largely measured by manual means with a ruler and notepad. Here, we present the Height Pole, a novel single‐point LiDAR (SPL)‐based instrument to measure and record plant and canopy height in the field quickly, reliably, and accurately. An SPL was mounted on the top of a pole and aimed downwards at an adjustable paddle that was positioned at the desired height. A custom app, written for Android OS, saved the plant height data from the SPL to a tablet. The Height Pole was tested against a ruler in the lab, in a field trial setting, and by multiple operators. Indoor and outdoor testing found no significant differences between a ruler and the Height Pole measurements. A test with five operators revealed that measuring, recording, transcribing, and digitizing were on average 20 s per plot slower with a ruler than with the Height Pole. The Height Pole required only one operator to measure and record data, reduced operator fatigue, and by directly writing the data to a .CSV file eliminated transcription errors. These improvements make it easier to collect crop height data on large experiments rapidly and accurately with low input costs.

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Machine vision based plant height estimation for protected crop facilities

Jayasuriya,

Guo,

et al. 2024

Computers and Electronics in Agriculture

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Measuring canopy height in soybean and wheat using a low‐cost depth camera

Cited by 3 publications

References 11 publications

PlotCam: A handheld proximal phenomics platform

PlotCam: A handheld proximal phenomics platform

The Height Pole: Measuring plot height using a single‐point LiDAR sensor

Machine vision based plant height estimation for protected crop facilities

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