Oakland, CA, United States of America

Gardar Johannesson

USPTO Granted Patents = 6 

 

Average Co-Inventor Count = 2.7

ph-index = 2

Forward Citations = 5(Granted Patents)


Location History:

  • San Francisco, CA (US) (2018)
  • Oakland, CA (US) (2022 - 2024)

Company Filing History:


Years Active: 2018-2024

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6 patents (USPTO):Explore Patents

Title: Gardar Johannesson: Innovator in Agricultural Technology

Introduction

Gardar Johannesson is a prominent inventor based in Oakland, CA, known for his contributions to agricultural technology. With a total of six patents to his name, Johannesson has made significant strides in improving agricultural practices through innovative systems and methods.

Latest Patents

One of Johannesson's latest patents focuses on digital modeling of probabilistic crop yields for implementing agricultural field trials. This invention presents systems and methods aimed at enhancing the training of machine learning models to generate probability distributions of yield values. The system is designed to store a machine learning model that computes parameters for a probability distribution based on various factors, including seeding density and seed type. It generates a yield guarantee value that can be supplied to field managers, along with recommendations for seed type and density.

Another notable patent involves utilizing spatial statistical models for implementing agronomic trials. This system receives yield data from different portions of an agronomic field that have undergone different treatments. By employing a spatial statistical model, the system computes yield values and generates prescription maps to optimize treatment applications, thereby maximizing efficacy in agronomic trials.

Career Highlights

Gardar Johannesson currently works at The Climate Corporation, where he applies his expertise in agricultural technology to develop innovative solutions. His work focuses on leveraging data and machine learning to enhance agricultural productivity and sustainability.

Collaborations

Johannesson collaborates with talented individuals such as Maria Antonia Terres and Moslem Ladoni, contributing to a dynamic team dedicated to advancing agricultural technology.

Conclusion

Gardar Johannesson's innovative work in agricultural technology exemplifies the potential of combining machine learning with agronomy. His patents reflect a commitment to improving crop yields and optimizing agricultural practices, making a significant impact in the field.

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