Tomato Plant

Tomato plant research currently focuses on optimizing cultivation and harvesting through advanced imaging techniques and artificial intelligence. This involves developing non-destructive methods for assessing plant health (e.g., nutrient status, disease detection) and fruit quality (e.g., ripeness, firmness) using computer vision, deep learning models (like CNNs and YOLO), and hyperspectral imaging. These advancements aim to improve efficiency and reduce labor costs in agriculture, enabling more precise crop management and yield prediction. The development of large, publicly available datasets is also a key area of focus, facilitating the comparison and improvement of these algorithms.