In recent years, the damage caused by thrips species, especially to citrus crops, has increased. This highlights the need for effective control measures. Thrips pests harm citrus fruits from May to November, impacting both appearance and marketable yield as adult insects fly in from nearby fields. To monitor thrips’ presence in orchards, farmers use colored traps and manually count captured thrips. This method helps track and measure pest populations, though it is time-consuming. Identifying different thrips types is crucial for understanding pest dynamics and developing appropriate management strategies. There are five distinct thrips types that affect orchards, each with unique size and color characteristics.
The application of Super-Resolution (SR) techniques is beneficial in smart agriculture for the early detection and management of small pests like thrips, which are hard to identify with Low-Resolution images. In this project, SR techniques are used to detect and classify thrips. Users take photos and upload them to the application, and the system then determines the total and individual class counts of thrips.
