What are some methods for evaluating the compactness of grape bunches?

Answered on : 2024-01-23

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1. **Image Analysis:** Automated image analysis methods have been developed for assessing bunch compactness, providing a quantitative approach[3][6].

2. **Digital Twins Analysis:** This involves using 3D sensors and automation to categorize grapevine bunch morphology and evaluate grey mold infection risk[8].

3. **Deep Learning YOLO-Based Solution:** Utilizing deep learning YOLO-based solutions for grape bunch detection and assessment of biophysical lesions[11].

4. **Point Cloud Data:** Estimating characteristic parameters of grape clusters based on point cloud data[12].

5. **iOS-Smartphone Application:** "3DBunch" is a novel iOS-smartphone application for evaluating the number of grape berries per bunch using image analysis techniques[19].

6. **Quantitative Estimation Indexes:** Evaluation of indexes for the quantitative and objective estimation of grapevine bunch compactness[28].

These methods offer diverse approaches for accurately evaluating grape bunch compactness.

[3]: Australian Journal of Grape and Wine Research

[6]: Australian Journal of Grape and Wine Research

[8]: ScienceDirect

[11]: Australian Journal of Grape and Wine Research

[12]: Frontiers

[19]: Semantic Scholar

[28]: Academia.edu