System and method for nutritional analysis of straw feed based on image recognition

A method for nutritional analysis of straw feed based on image recognition, comprising:

• performing multi-directional optical imaging acquisition on a surface of a straw to obtain straw image data, and dividing the straw image data into multiple analysis sub-regions;
• performing morphological analysis to extract fiber arrangement information from the multiple analysis sub-regions to enhance fiber texture features, and extracting fiber micro-difference indicators based on pixel distribution parameters and neighborhood relationships of the fiber arrangement information;
• performing complexity analysis on distribution characteristics of the fiber micro-difference indicators through image decomposition based on a multifractal model, to determine whether randomness of a fiber arrangement pattern of the straw within a local region is normal to thereby obtain a first determination result;
• analyzing a variation trend of the fiber micro-difference indicators over different time sequences by using a nonlinear method based on phase space reconstruction, to determine whether a deviation amplitude of a fiber arrangement of the straw is normal to thereby obtain a second determination result;
• determining, based on the first determination result and the second determination result, whether a stability of the fiber micro-difference indicators meets a preset requirement;
• and
• in response to the stability of the fiber micro-difference indicators meeting the preset requirement, comparing the fiber micro-difference indicators with fiber composition reference data to determine whether the fiber micro-difference indicators meet a preset standard;
• and in response to determining that the fiber micro-difference indicators meet the preset standard, determining nutrition analysis data of the straw.