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Hamamatsu Corp. - Earth Innovations LB 2/24

Machine Learning and Computer Vision Lead to Smarter, More Precise Crop Management

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NORWICH, England, June 12, 2019 — Researchers at the Earlham Institute (EI), working with G’s Growers in Ely, England, have developed a machine learning platform that works with computer vision and ultra-large-scale images taken from the air to help categorize lettuce crops in fields. To quantify millions of in-field lettuces acquired by fixed-wing light aircraft equipped with sensors, the researchers customized the platform, called AirSurf, by combining computer-vision algorithms and a deep-learning classifier trained with over 100,000 labeled lettuce signals. The tailored platform, AirSurf-Lettuce, demonstrated...Read full article

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    Published: June 2019
    Glossary
    deep learning
    Deep learning is a subset of machine learning that involves the use of artificial neural networks to model and solve complex problems. The term "deep" in deep learning refers to the use of deep neural networks, which are neural networks with multiple layers (deep architectures). These networks, often called deep neural networks or deep neural architectures, have the ability to automatically learn hierarchical representations of data. Key concepts and components of deep learning include: ...
    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...
    computer vision
    Computer vision enables computers to interpret and make decisions based on visual data, such as images and videos. It involves the development of algorithms, techniques, and systems that enable machines to gain an understanding of the visual world, similar to how humans perceive and interpret visual information. Key aspects and tasks within computer vision include: Image recognition: Identifying and categorizing objects, scenes, or patterns within images. This involves training algorithms...
    Research & TechnologyeducationEuropeEarlham InstituteImagingcamerasdeep learningmachine learningcomputer visionPrecision agricultureAir-Surfaerial imagingSensors & Detectorsenvironment

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