Automatic Broccoli Detection in RGB-D Images
DOI:
https://doi.org/10.32870/recibe.v12i2.301Keywords:
Segmentación, filtrado de imágenes, Circle fitAbstract
Broccoli is a vegetable crop considered to have high economic value worldwide. However, in many countries, its production is continuously affected by labor shortages and instability, caused by a wide range of economic fluctuations, political factors, and migration-related phenomena. As a result, autonomous and semi-autonomous harvesting alternatives have been explored to facilitate harvesting operations, increase productivity, and reduce costs. This article reviews several proposed strategies for the automatic detection of broccoli during the harvesting process, based on 3D image segmentation and filtering techniques. In addition, it evaluates the effectiveness of each strategy by comparing the results obtained across the different approaches.References
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