2017 · 154 citations · 14 references
AgricultureAgricultural EngineeringCrop SciencesAgricultural AutomationAgricultural RoboticsField PhenotypingAgricultural Machine VisionAgricultural MachineryAutonomous Field NavigationCrop PhenotypingSensor Data AcquisitionCrop YieldsField Scale PhenotypingIn-field PhenotypingNavigation In Crop RowsNon-contact SensingPhenotypic Data AnalysisPlant Phenotyping AutomationRobotic Phenotyping
The established processes for measuring physiological and morphological traits (phenotypes) of crops in outdoor test plots are labor intensive and error-prone. Low-cost, reliable, field-based robotic phenotyping will enable geneticists to more easily map genotypes to phenotypes, which in turn will improve crop yields. In this paper, we present a novel robotic ground-based platform capable of autonomously navigating below the canopy of row crops such as sorghum or corn. The robot is also capable of deploying a manipulator to measure plant stalk strength and gathering phenotypic data with a modular array of non-contact sensors. We present data obtained from deployments to Sorghum bicolor test plots at various sites in South Carolina, USA.
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Remote, aerial phenotyping of maize traits with a mobile multi-sensor approach
Frank Liebisch, Norbert Kirchgeßner, David Schneider et al. · Plant Methods · 2015 · 172 citations · Full text
Agriculture, Agronomy, Crop Sciences +17