MTD-YOLO: Multi-task deep convolutional neural network for cherry tomato fruit bunch maturity detection

Wenbai Chen, Mengchen Liu, Chunjiang Zhao, Xingxu Li, Yiqun Wang

Abstract: Highlights•A multi-task detection network for cherry tomato based on YOLOv7 was proposed.•Improving the cherry tomato dataset format for multitasking experiments.•Achieving three tasks: cherry tomato detection, fruit and bunch ripeness grading.•The proposed model has high speed while maintaining high accuracy.