AI vision-based training method and training system for agricultural picking

The invention discloses an AI vision-based training method and training system for agricultural picking, and relates to the technical field of fruit picking, and the method comprises the following steps: S1, data collection; s2, data preprocessing; s3, model selection and design; s4, performing mode...

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Bibliographic Details
Main Author QIAN BINGFENG
Format Patent
LanguageChinese
English
Published 13.08.2024
Subjects
AGRICULTURE
ANIMAL HUSBANDRY
CALCULATING
COMPUTING
COUNTING
FISHING
FORESTRY
HARVESTING
HUMAN NECESSITIES
HUNTING
MOWING
PHYSICS
TRAPPING
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Summary:The invention discloses an AI vision-based training method and training system for agricultural picking, and relates to the technical field of fruit picking, and the method comprises the following steps: S1, data collection; s2, data preprocessing; s3, model selection and design; s4, performing model training; s5, evaluating and optimizing the model; and S6, deploying applications. According to the AI vision-based training method and training system for agricultural picking, AI vision training is carried out based on deep learning and a computer vision technology, and deep learning carries out model training by simulating a working mode of a human brain neural network and utilizing a large amount of fruit image data, so that automatic processing of complex tasks is realized; according to the invention, the AI visual training is applied to agricultural fruit picking, the picking efficiency, precision and cost effectiveness are greatly improved, and errors and misoperation in the picking process are reduced. 本发
Bibliography:Application Number: CN202410573252