Despite global progress in agricultural technology, limited research in the Philippines focuses on developing bird-repellent systems for rice fields. This study focuses on developing an IoT-based solar bird-repellent system integrated with image processing technology to help farmers protect their rice fields without harming birds. The system employs a camera to capture real-time images, allowing its recognition module to identify bird species and trigger a speaker that emits specific sound frequencies to drive them away. Designed primarily to counter rice-eating species such as the Eurasian Tree Sparrow (Passer montanus), locally known as Maya, and the Mayang Paking, the system addresses a major agricultural challenge in the Philippines, where these birds cause significant crop losses by attacking in flocks during the rice-ripening stage. The Maya is characterized by its chestnut crown, black chin and throat, white cheek patches, and brown-black wings, while the Mayang Paking features a reddish-brown body, silvery-blue bill, and black head, both species known for feeding on grains and gathering in large groups, exacerbating crop destruction (Animalia, 2023). Utilizing components such as a Raspberry Pi, camera module, tweeter speaker, and photovoltaic panels, the project aims to create a sustainable and efficient prototype that enables farmers to safeguard their crops through an innovative, eco-friendly approach.