Abstract
Mechanized garlic planting is a very necessary trend. At present, most garlic planters do not have the function of correcting garlic posture during the seeding process, which will greatly affect the growth of garlic seedlings [1]. This paper mainly describes how to recognize garlic orientation before garlic planting based on machine vision using Python language and LBP feature algorithm, and then correct it. This machine can accurately achieve the purpose of garlic clove scale buds facing upwards and increase the rate of positive buds.
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