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Crop Stress Managed with Machine Learning, UAVs, Hyperspectral Imaging

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Iowa State University scientists are developing a machine learning system that could automate farmers’ ability to diagnose a range of major stressors in soybeans. The technology will use cameras attached to unmanned aerial vehicles (UAVs) to gather bird’s-eye images of soybean fields. A computer application will automatically analyze the images and alert the farmer of trouble spots. The project began with an app created at the university by an interdisciplinary team of engineers and plant scientists. The app allowed smartphone users to take pictures of soybean plants to...Read full article

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    Published: October 2019
    Glossary
    hyperspectral imaging
    Hyperspectral imaging is an advanced imaging technique that captures and processes information from across the electromagnetic spectrum. Unlike traditional imaging systems that record only a few spectral bands (such as red, green, and blue in visible light), hyperspectral imaging collects data in numerous contiguous bands, covering a wide range of wavelengths. This extended spectral coverage enables detailed analysis and characterization of materials based on their spectral signatures. Key...
    machine learning
    Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computers to improve their performance on a specific task through experience or training. Instead of being explicitly programmed to perform a task, a machine learning system learns from data and examples. The primary goal of machine learning is to develop models that can generalize patterns from data and make predictions or decisions without being...
    Research & TechnologyeducationAmericasIowa State UniversityImagingLight SourcesOpticshyperspectral imagingcamerassmart camerasmachine learningunmanned aerial vehiclesdronesUAVsagricultureenvironmentVision SpectraThe News Wire

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