{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T17:02:58Z","timestamp":1790355778883,"version":"4.1.0"},"reference-count":36,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2025,7,22]],"date-time":"2025-07-22T00:00:00Z","timestamp":1753142400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["32472960"],"award-info":[{"award-number":["32472960"]}]},{"name":"National Natural Science Foundation of China","award":["2211201099"],"award-info":[{"award-number":["2211201099"]}]},{"name":"National Natural Science Foundation of China","award":["CARS-40"],"award-info":[{"award-number":["CARS-40"]}]},{"name":"Handan City Science and Technology Research and Development Program Project","award":["32472960"],"award-info":[{"award-number":["32472960"]}]},{"name":"Handan City Science and Technology Research and Development Program Project","award":["2211201099"],"award-info":[{"award-number":["2211201099"]}]},{"name":"Handan City Science and Technology Research and Development Program Project","award":["CARS-40"],"award-info":[{"award-number":["CARS-40"]}]},{"name":"China Agriculture Research System of MOF and MARA","award":["32472960"],"award-info":[{"award-number":["32472960"]}]},{"name":"China Agriculture Research System of MOF and MARA","award":["2211201099"],"award-info":[{"award-number":["2211201099"]}]},{"name":"China Agriculture Research System of MOF and MARA","award":["CARS-40"],"award-info":[{"award-number":["CARS-40"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Animals"],"abstract":"<jats:p>Poultry feces, a critical biomarker for health assessment, requires timely and accurate pathological identification for food safety. Conventional visual-only methods face limitations due to environmental sensitivity and high visual similarity among feces from different diseases. To address this, we propose MMCD (Multimodal Chicken-feces Diagnosis), a ResNet50-based multimodal fusion model leveraging semantic complementarity between images and descriptive text to enhance diagnostic precision. Key innovations include the following: (1) Integrating MASA(Manhattan self-attention)and DSconv (Depthwise Separable convolution) into the backbone network to mitigate feature confusion. (2) Utilizing a pre-trained BERT to extract textual semantic features, reducing annotation dependency and cost. (3) Designing a lightweight Gated Cross-Attention (GCA) module for dynamic multimodal fusion, achieving a 41% parameter reduction versus cross-modal transformers. Experiments demonstrate that MMCD significantly outperforms single-modal baselines in Accuracy (+8.69%), Recall (+8.72%), Precision (+8.67%), and F1 score (+8.72%). It surpasses simple feature concatenation by 2.51\u20132.82% and reduces parameters by 7.5M and computations by 1.62 GFLOPs versus the base ResNet50. This work validates multimodal fusion\u2019s efficacy in pathological fecal detection, providing a theoretical and technical foundation for agricultural health monitoring systems.<\/jats:p>","DOI":"10.3390\/ani15152158","type":"journal-article","created":{"date-parts":[[2025,7,22]],"date-time":"2025-07-22T08:45:18Z","timestamp":1753173918000},"page":"2158","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["High-Accuracy Recognition Method for Diseased Chicken Feces Based on Image and Text Information Fusion"],"prefix":"10.3390","volume":"15","author":[{"given":"Duanli","family":"Yang","sequence":"first","affiliation":[{"name":"College of Information Science and Technology, Hebei Agricultural University, Baoding 071001, China"},{"name":"Hebei Key Laboratory of Agricultural Big Data, Baoding 071001, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zishang","family":"Tian","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology, Hebei Agricultural University, Baoding 071001, China"},{"name":"Hebei Key Laboratory of Agricultural Big Data, Baoding 071001, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianzhong","family":"Xi","sequence":"additional","affiliation":[{"name":"Graduate School, Hebei Agricultural University, Baoding 071001, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Animal Science and Technology, Hebei Agricultural University, Baoding 071001, China"},{"name":"Key Laboratory of Broiler and Layer Facilities Engineering, Ministry of Agriculture and Rural Affairs, Baoding 071001, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Erdong","family":"Sun","sequence":"additional","affiliation":[{"name":"Hebei Taomu Geda Agricultural Science and Technology Co., Baoding 074300, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lianzeng","family":"Wang","sequence":"additional","affiliation":[{"name":"Hebei Layer Industry Technology Research Institute, Handan 056007, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,7,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"103863","DOI":"10.1016\/j.psj.2024.103863","article-title":"Genetic characteristics and selection signatures between Southern Chinese local and commercial chickens","volume":"103","author":"Qi","year":"2024","journal-title":"Poult. 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