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AN ARTIFICIAL-INTELLIGENCE-BASED METHOD OF AGRICULTURAL AND HORTICULTURAL PLANTS' PHYSICAL CHARACTERISTICS AND HEALTH DIAGNOSING AND DEVELOPMENT ASSESSMENT.
AN ARTIFICIAL-INTELLIGENCE-BASED METHOD OF AGRICULTURAL AND HORTICULTURAL PLANTS' PHYSICAL CHARACTERISTICS AND HEALTH DIAGNOSING AND DEVELOPMENT ASSESSMENT.
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机译：基于人工智能的农业和园艺植物物理特征和健康诊断方法和开发评估。
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摘要
a method of developing plant's physical characteristics data collecting by imaging methods for specific agricultural and horticultural products to be utilized in conjunction with any using machine learning, machine vision, and deep learning methods (all of the deep learning algorithms) to diagnose plants physical characteristics status.wherein the pixel matrix in the image is defined by deep learning techniques to pre-learned models of pixel values and the image library comprises images of agricultural and horticultural product's physical characteristics. wherein the problems are any physical plant problem (the diseases include any disease identifiable by visual inspection of plant leaves, stems, and entire plant or any physical changes). wherein extracting relevant images is performed by deep learning and machine vision methods and the pixel model results from multi images from a plurality of cameras received from an image capture device within the agricultural and horticultural products.
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