A Convolutional Neural Network-Based Agricultural Product Identity Recognition and Quantity Inventory System

Abstract

Compared with the prior art, the agricultural product identity identification and quantity inventory system based on convolutional neural network disclosed in the present application includes: an information electronic identification set on a chicken farm cage frame, and the information electronic identification is used to configure a serial number for each chicken cage Information data and storage of basic data of chicken cages; inspection robots installed in chicken farms; inspection robots include: inspection controllers; information collection modules and identity recognition modules connected to the inspection controllers; information collection modules are connected to cameras, Obtain the video image data of agricultural products; connect with the inspection controller to obtain the visual algorithm analysis module of the number of eggs produced in each cage and the actual egg production rate; the wireless transmission module connected with the visual algorithm analysis module; communicate with the inspection robot The connected monitoring server. Compared with the prior art, the technical solution involved in the present invention can intelligently carry out product quantity inventory, detect chickens with low egg production rate in the farm, avoid feed empty consumption, and save costs.

Description

technical field [0001] The present application relates to the technical field of identity recognition and quantity inventory systems, and more particularly, to a convolutional neural network-based agricultural product identity recognition and quantity inventory system. Background technique [0002] With the development of science and technology, intelligent breeding farms have gradually become popular, and more and more egg farms tend to be large-scale and intensive, which makes scientific and professional chicken breeding guidance very important. [0003] At present, in today's egg farms, it basically includes cages, feeding systems, manure cleaning systems, egg collection systems and drinking water systems. An appropriate amount of hens are bred in each cage. During the production process, the chickens lay eggs in the cage, and then the eggs are collected by the egg collection system. Finally, the quantity is counted and the egg production rate is calculated manually. Whe...

AI Technical Summary

Problems solved by technology

An appropriate amount of hens are raised in each cage. During the production process, the chickens lay eggs in the cages, and then the eggs are collected by the egg collection system. Finally, the quantity is manually counted and the egg production rate is calculated. When the egg production in the egg farm When the egg rate does not meet the preset requirements, it is difficult to know which chickens in the farm have a low egg production rate, and even the entire batch of chickens in the farm can only be eliminated, so that the loss can be stopped in time

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