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Unmanned Aerial System (UAS) for Precision Agriculture and Management Decisions
Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org
Citation: 2016 ASABE Annual International Meeting 162428013.(doi:10.13031/aim.20162428013)
Authors: Juan Enciso, Murilo Maeda, Juan Landivar, Carlos Avila, Jinha Jung, Anjin Chang
Keywords: Remote sensing, precision agriculture, crop management, water management.
Abstract. An Unmanned Aerial System (UAS) platform for high throughput plant phenotyping analysis was developed to estimate plant growth rate, canopy cover progression, earliness/maturity, and yield in tomato and potato lines to assess differences within cropping systems and phenotype evaluations. Two rotocraft platforms were developed one consists of eight motors and the other one of four motors. The eight motor UAS platform is equipped with two sensors; 1) Canon S110 – 12-megapixel camera that captures Blue, Green, and Red spectral wavelength and 2) Tetracam ADC Snap – multispectral sensor that records green, red, and near-infrared spectral wavelength. The four motor platform is equipped with a Canon S110 – 12 megapixel camera that captures blue, green, and red spectral wavelength. Three flights were carried out on March 17, 2016 at altitude of 30m above ground. Around 130 raw images were taken in each flight while UAV was covering the study plot in a grid pattern. Raw images were acquired with 80% forward and 70 % side overlap and fed into Structure from Motion algorithm to generate seamless orthomosaic images and 3D point cloud data for Digital Surface Model creation. Geospatial data products generated from each flights are then uploaded to the UASHub. The crop grids will be designed to delineate boundary of individual variety. Once the grids are established, the grid will be used to extract crop height, canopy cover, and overall plant health status for each variety so that their progression pattern over the growing season can be characterized
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