Carlos Riquelme

Title: Carlos Riquelme - Innovator in Machine Learning Applications

Introduction

Carlos Riquelme is an inventor based in Zurich, Switzerland. He is known for his innovative work in the field of machine learning, particularly in applications that involve agricultural predictions. His approach utilizes advanced techniques to analyze time series data, which can significantly impact agricultural practices.

Latest Patent Applications

Carlos Riquelme has submitted a patent application titled "MID-CYCLE PREDICTIONS USING MACHINE LEARNING." This application discloses implementations for training and applying a single machine learning model to generate mid-cycle inferences based on variable length time series inputs. The process involves obtaining a time series of satellite imagery samples that depict an agricultural area over all or part of a crop cycle. During the training phase, ground truth agricultural classifications are obtained for geographic units represented by individual pixels of the satellite imagery samples. The training also includes generating partially masked satellite imagery samples to create input embeddings. These embeddings are then applied across a machine learning model to generate outputs representing in-season agricultural predictions. The in-season predictions are compared with the ground truth classifications to refine the machine learning model.

Conclusion

Carlos Riquelme's contributions to machine learning applications in agriculture highlight the potential of technology to enhance farming practices. His innovative approach to utilizing satellite imagery and machine learning can lead to more accurate agricultural predictions, benefiting the industry as a whole.