Pet feeding machine control method and system based on machine learning

Abstract

The embodiment of the application provides a pet feeding machine control method and system based on machine learning, which obtains a preset feeding plan of the pet feeding machine, historical feeding data and behavior data of a pet. According to the preset feeding plan, the historical feeding data and the behavior data, a predicted feeding requirement of the pet is obtained. According to the predicted feeding requirement, the preset feeding plan of the pet feeding machine is adjusted to generate a target feeding plan, and a feeding operation is performed according to the target feeding plan, so as to dynamically optimize the feeding arrangement according to the actual requirement and habit of the pet, avoid unreasonable feeding caused by the fact that the fixed feeding plan cannot adapt to individual differences and changes of the pet, and thus realize more accurate and personalized pet feeding management, improve the health level of the pet, enhance the interaction experience between the pet and the owner, and at the same time, reduce the burden of the owner in pet feeding.

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