Interests are related on how we can use robotics for improving phenomical data and provide biologists with more accurate information. It involves the development of mechanical devices to percuss crops, the implementation of computer vision techniques to track objects and to manipulate fruits. Moreover, we have interest on how to extract meaningful information from those data to improve plant breeding by applying data science techniques. It includes the use of statistical methods and machine learning techniques for detecting and clustering data. Our ultimate target is to develop technological solutions for smart cropping which can contribute to faster evaluation of the phenotype and the diagnosis of diseases.

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