Sheep pregnancy plays a crucial role in sustaining livestock productivity. Modern detection typically relies on ultrasound examinations, yet the use of ultrasound in sheep management remains limited, and the interpretation of results is often recorded manually. This situation leads to challenges in data accuracy, storage, image archiving, and the preparation of structured reports. This study introduces an innovative IS-Ultrasound (IS-USG) system, developed as a web-based platform for managing sheep pregnancy data. The system is designed to digitally and systematically document ultrasound examination results using intelligent system approaches. The IS-USG website includes features for registering animal identities, uploading and storing ultrasound images, organizing examination archives, and generating pregnancy reports accessible at any time. The research process involves need assessment, system design, development using the Laravel framework, and testing of functionality and user experience. The evaluation results indicate that the IS-USG system successfully performs all intended features, offers a user-friendly interface, and enhances inspection efficiency. Overall, this system is expected to make the pregnancy detection process in sheep more structured, precise, and practical, ultimately supporting higher productivity in sheep farming.
Utomo et al. (Thu,) studied this question.
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