Abstract: Described herein are mobile sensing units for capturing raw data corresponding to certain characteristics of plants and their growing environment. Also described are computer devices and related methods for collecting user inputs, generating information relating to the plants and/or growing environment based on the raw data and user inputs, and displaying same.
Type:
Grant
Filed:
January 5, 2021
Date of Patent:
October 7, 2025
Assignee:
AdaViv
Inventors:
Thomas James Matarazzo, Mohammad Mahmoudzadehvazifeh, Ian Shaun Seiferling
Abstract: Described herein are techniques for generating contextually rich plant images. A number of data captures of raw plant data are generated via a sensing unit configured to navigate a growing facility. Metadata is generated and assigned to the raw plant data including at least one of: plant location, timestamp, plant identification, plant strain, facility identification, facility location, facility type, health risk factors, plant conditions, and human observations. Images generated by the sensing unit are analyzed and pixel annotations are generated in the images based on their relation to one or more plant well-being features. Data tags are generated and assigned the data captures based on an analysis of the data captures. The data tags are text phrases linking a particular data capture to a specific threat to plant well-being.
Type:
Grant
Filed:
January 5, 2021
Date of Patent:
September 2, 2025
Assignee:
AdaViv
Inventors:
Thomas James Matarazzo, Mohammad Mahmoudzadehvazifeh, Ian Shaun Seiferling
Abstract: Described herein are techniques for generating contextually rich plant images. A number of data captures of raw plant data are generated via a sensing unit configured to navigate a growing facility. Metadata is generated and assigned to the raw plant data including at least one of: plant location, timestamp, plant identification, plant strain, facility identification, facility location, facility type, health risk factors, plant conditions, and human observations. Images generated by the sensing unit are analyzed and pixel annotations are generated in the images based on their relation to one or more plant well-being features. Data tags are generated and assigned the data captures based on an analysis of the data captures. The data tags are text phrases linking a particular data capture to a specific threat to plant well-being.
Type:
Application
Filed:
January 5, 2021
Publication date:
February 16, 2023
Applicant:
ADAVIV
Inventors:
Thomas James MATARAZZO, Mohammmad MAHMOUDZADEHVAZIFEH, Ian Shaun SEIFERLING