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  1. Nanotechnology and artificial intelligence to enable ... - Nature

    • Climate change, increasing populations, competing demands on land for production of biofuels and declining soil quality are challenging global food security. Finding sustainable solutions requires b… See more

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    The Green Revolution of the 1950s and 1960s—also known as the third Agricultural … See more

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    Current challenges and applications of AI in agriculture

    The application of computers and AI in agriculture is not new—for example, articles addressing software for integrated resource management21, image digitization for soil and crop sc… See more

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    Leveraging progress in nanosafety and nanoinformatics for nano-agrochemicals

    Before maximizing the use of nanomaterials in agriculture and agronomy, some concerns need to be addressed, including the potential toxicity of the nanomateri… See more

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    AI and machine learning for nano-enabled agronomy

    AI and machine learning approaches
    As computational capabilities grow and the value of data as knowledge to be exploited is increasingly realized, AI and machine or deep learni… See more

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    Challenges and barriers to precision nano-agriculture

    Although nanotechnology has potential in a wide range of applications in agriculture, there are many challenges to be overcome to move this area forward and facilitate full commercia… See more

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  1. While nanotechnology combines the knowledge of physics, chemistry and engineering, AI has heavily relied on biological inspiration to develop some of its most effective paradigms such as neural networks or evolutionary algorithms.
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  6. Artificial Intelligence in Nanotechnology: Recent …

    Jun 1, 2021 · Nanoscience and nanotechnology can be used in conjunction with Artificial Intelligence, since they are present in various fields ranging from …

    • Author: Faris Hrvat, Amina Aleta, Amra DĹľuho, Osman Hasanić, Lemana Spahić Bećirović
    • Publish Year: 2021
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  8. Artificial intelligence in nanotechnology - IOPscience

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