MooLogue

教育

免費 · 專為 iPad 設計

Ever wondered what cows are really saying? With MooLogue, the daily chatter of the barn comes alive. This engaging, science-backed app lets you explore the hidden world of cow communication through an interactive soundboard of real dairy cow vocalizations. Developed from cutting-edge research by the MooAnalytica Lab at Dalhousie University, Canada MooLogue offers more than 45 categories of authentic Holstein and Jersey cow calls, captured directly from working dairy farms. From maternal reassurance moos to playful rumbles, from feeding anticipation calls to subtle distress signals, MooLogue reveals the social soundtrack of the barn like never before. What you will find inside MooLogue: Soundboard Explorer – Tap and listen to more than 300 curated cow vocalizations collected from Canadian dairy farms. Call Categories – Learn the difference between “I am hungry,” “I am in pain,” “Come here, calf,” and even specialized estrus heat calls. Quiz Mode – Test your knowledge. Can you identify whether a call is maternal, social, or distressed? Visual Learning – Comic-style farm illustrations bring each call to life in an immersive, fun, and educational format. Farmer-Friendly Insights – Practical explanations provide farmers, students, and animal enthusiasts with valuable guidance on interpreting herd behaviour and welfare cues. Why MooLogue matters Cows do not moo randomly. Their voices carry emotion, intent, and in some cases, early indicators of health or welfare challenges. MooLogue is more than just an app - it is a window into the social lives of cows. The platform is designed for: Dairy farmers who want to better understand animal welfare and detect subtle behavioural changes. Students and researchers interested in bioacoustics, animal behaviour, and digital agriculture. Animal lovers and learners who want to connect with the unique voices of the barnyard in a playful but informed way. Key Features Over 45 call categories with clear explanations. Farm-recorded audio validated by animal welfare researchers. Interactive quizzes for both fun and training. Works offline, making it useful in barns, classrooms, and research settings. Free to explore, with no need for recordings-simply listen and learn. Educational, Quirky, and Research-Based MooLogue can be described as the Duolingo of cow language—accessible enough for children, practical enough for farmers, and academically grounded for researchers. By blending playful design with scientific accuracy, it transforms casual listening into meaningful learning. Behind the Scenes The MooLogue sound library was created using more than 1000 hours of field recordings collected across several dozen Canadian dairy barns. Calls were recorded in key farm environments including feeding stations, water troughs, hay areas, and milking parlours. Each sound has been carefully categorized into emotional states and social contexts by a research team specializing in livestock bioacoustics. This rigorous process ensures that what you hear is not only authentic, but also scientifically meaningful. Why download MooLogue? Because in the barn, every sound matters. By listening closely, we can better understand the needs, emotions, and welfare of cows. MooLogue is a first-of-its-kind tool that transforms the way farmers, researchers, and students engage with the voices of livestock. Download MooLogue today and start turning moos into messages.

  • 此App未收到足夠的評分或評論以顯示概況。

- updated quiz logic

開發者Suresh Raja Neethirajan表明App的私隱慣例或包括下列資料的處理。詳情請參閲 開發者的私隱政策

  • 不收集資料

    開發者不會從此 App 收集任何資料。

    私隱慣例或因使用的功能或年齡等因素而異。 進一步了解

    開發者尚未表示此 App 支援哪些輔助使用功能。 進一步了解

    • 供應商
      • Suresh Raja Neethirajan
    • 大小
      • 215.3 MB
    • 類別
      • 教育
    • 相容性
      須使用 iOS 14.0 或以上版本。
      • iPhone
        須使用 iOS 14.0 或以上版本。
      • iPad
        須使用 iPadOS 14.0 或以上版本。
      • iPod touch
        須使用 iOS 14.0 或以上版本。
      • Mac
        須使用 macOS 11.0 或以上版本及配備 Apple M1 或以上版本晶片的 Mac。
      • Apple Vision
        須使用 visionOS 1.0 或以上版本。
    • 語言
      • 英文
    • 年齡分級
      4+
    • 版權
      • © 2025 Suresh Neethirajan