Field phenotyping system for the assessment of potato late blight resistance using RGB imagery from an unmanned aerial vehicle
نویسندگان
چکیده
Ryo Sugiura , Shogo Tsuda , Seiji Tamiya , Atsushi Itoh , Kentaro Nishiwaki , Noriyuki Murakami , Yukinori Shibuya , Masayuki Hirafuji , Stephen Nuske c a Hokkaido Agricultural Research Center, National Agriculture and Food Research Organization, 9-4 Shinseiminami, Memuro, Kasai, Hokkaido 082-0081, Japan b Graduate School of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 3058577, Japan c Robotics Institute, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213-3890, USA
منابع مشابه
Estimating Phenotypic Traits From UAV Based RGB Imagery
In many agricultural applications one wants to characterize physical properties of plants and use the measurements to predict, for example biomass and environmental influence. This process is known as phenotyping. Traditional collection of phenotypic information is labor-intensive and time-consuming. Use of imagery is becoming popular for phenotyping. In this paper, we present methods to estima...
متن کاملUnmanned aerial vehicle field sampling and antenna pattern reconstruction using Bayesian compressed sensing
Antenna 3D pattern measurement can be a tedious and time consuming task even for antennas with manageable sizes inside anechoic chambers. Performing onsite measurements by scanning the whole 4π [sr] solid angle around the antenna under test (AUT) is more complicated. In this paper, with the aim of minimum duration of flight, a test scenario using unmanned aerial vehicles (UAV) is proposed. A pr...
متن کاملIncorporation of Texture, Intensity, Hue, and Saturation for Rangeland Monitoring with Unmanned Aircraft Imagery
Aerial photography acquired with unmanned aerial vehicles (UAVs) has great potential for incorporation into rangeland health monitoring protocols, and object-based image analysis is well suited for this hyperspatial imagery. A major drawback, however, is the low spectral resolution of the imagery, because most lightweight cameras suitable for UAVs only acquire imagery in the red, green, and blu...
متن کاملDesign of an Intelligent Controller for Station Keeping, Attitude Control, and Path Tracking of a Quadrotor Using Recursive Neural Networks
During recent years there has been growing interest in unmanned aerial vehicles (UAVs). Moreover, the necessity to control and navigate these vehicles has attracted much attention from researchers in this field. This is mostly due to the fact that the interactions between turbulent airflows apply complex aerodynamic forces to the system. Since the dynamics of a quadrotor are non-linear and the ...
متن کاملFoliar and tuber assessment of late blight
Host plant resistance is an important component to the management of potato late blight, Phytophthora infestans (Mont.) de Bary. Assessment of potato lines (Solarium tuberosum L.) with various levels of resistance to P. infestans (US8, A2 genotype) were evaluated in field trials, greenhouse controlled environment chambers and inoculated tuber reactions. Five lines (AWN86514-2, B0692-4, B0718-3,...
متن کامل