Strawberry Ripeness Detection Using Deep Learning Models
In agriculture, the timely and accurate assessment of fruit ripeness is crucial to optimizing harvest planning and reduce waste. In this article, we explore the integration of two cutting-edge deep learning models, YOLOv9 and Swin Transformer, to develop a complex model for detecting strawberry ripe...
| Những tác giả chính: | , |
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| Định dạng: | Bài viết |
| Ngôn ngữ: | English |
| Được phát hành: |
MDPI AG
2024-08-01
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| Loạt: | Big Data and Cognitive Computing |
| Những chủ đề: | |
| Truy cập trực tuyến: | https://www.mdpi.com/2504-2289/8/8/92 |