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management. CEA systems are particularly well suited to data-driven innovation, where continuous streams of sensor data inform decisions on climate, irrigation, lighting, and crop handling. The grower
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management. CEA systems are particularly well suited to data-driven innovation, where continuous streams of sensor data inform decisions on climate, irrigation, lighting, and crop handling. The grower
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National Aeronautics and Space Administration (NASA) | Merritt Island, Florida | United States | about 11 hours ago
. Description: NPP Opportunity Description: Genomic Selection and Sensor-Based Phenotyping for Space-Relevant Plant Research The participant may submit a scientific proposal for an original research project
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) and contribute to LU-PCG’s research under the U.S. Department of Energy’s (DOE) GENESIS Mission. Research will involve developing fast neural surrogate models, state estimators/virtual sensors, multi
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Agriculture (CEA) Engineering Lab as a Postdoctoral Research Associate. The candidate will primarily work in one or more of the following areas: computer vision, AI-driven automation, and/or robotics