Apple Fruitlet

Apple fruitlet research centers on optimizing apple production through improved pollination and harvesting techniques, primarily focusing on automating these processes. Current research employs computer vision algorithms, often integrated with robotic systems and machine learning models like Linear Quadratic Regulators (LQR) and transformers, to achieve precise fruitlet localization, size measurement, and automated pollination. These advancements aim to increase efficiency, reduce labor costs, and improve yield in apple orchards, addressing challenges like pollinator decline and the need for sustainable agricultural practices.