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ARS Home » Plains Area » El Reno, Oklahoma » Oklahoma and Central Plains Agricultural Research Center » Peanut and Small Grains Research Unit » Research » Publications at this Location » Publication #364185

Research Project: Genetic Improvement of Peanut for Production in the Southwest United States Region

Location: Peanut and Small Grains Research Unit

Title: High-throughput phenotyping of peanut canopy architecture by ground LiDAR sensing technology

item YUAN, HONGBO - Hebei University
item WANG, NING - Oklahoma State University
item Bennett, Rebecca
item LUO, BIN - National Engineering Research Center For Information Technology In Agriculture

Submitted to: ASABE Annual International Meeting
Publication Type: Abstract Only
Publication Acceptance Date: 8/1/2018
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: Canopy height, shape, and density are important phenotypic traits that can be used not only as indicators of normal growth but also as parameters for predicting temperature and humidity within the peanut canopy. Within-canopy microclimate is a major factor contributing to disease incidence and severity. At present, physical characteristics of peanut canopies can only be measured manually, which is laborious and time consuming. A study was conducted using a ground LiDAR sensor (SICK-LMS291) and image analysis to measure and analyze peanut canopy characteristics. Experiments were conducted using three peanut cultivars at the Caddo Research Station in Fort Cobb, OK, and LiDAR data were collected monthly from July to September 2015. A program was developed to pre-process the LiDAR data to obtain canopy height; in addition, image analysis algorithms were developed to analyze canopy contour and density. Differences among cultivars were examined using Euler number, entropy, cluster number, and mean area from the image data, and results show that the canopy characteristics of the three peanut cultivars can be clearly distinguished. These results show that ground LiDAR can be used effectively to measure peanut canopy characteristics. This approach may be useful to plant breeders for measuring canopy traits of other crops.