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Title: Systems and methods for improved landscape management

Abstract

Disclosed here are systems, methods, apparatus, and/or non-transitory computer-readable storage comprising machine-readable code for the development and application of high-resolution crop yield models. The disclosed yield models may be captured yield data and corresponding remote sensing data covering relatively limited areas. Embodiments of the disclosed yield models may be capable of estimating spatial yield characteristics in areas for which accurate yield data are not available (and/or not practical to acquire), thereby enabling more widespread application of integrated land management techniques.

Inventors:
; ;
Issue Date:
Research Org.:
Idaho National Laboratory (INL), Idaho Falls, ID (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1860053
Patent Number(s):
11170219
Application Number:
16/550,081
Assignee:
Battelle Energy Alliance, LLC (Idaho Falls, ID)
Patent Classifications (CPCs):
A - HUMAN NECESSITIES A01 - AGRICULTURE A01B - SOIL WORKING IN AGRICULTURE OR FORESTRY
A - HUMAN NECESSITIES A01 - AGRICULTURE A01C - PLANTING
DOE Contract Number:  
AC07-05ID14517
Resource Type:
Patent
Resource Relation:
Patent File Date: 08/23/2019
Country of Publication:
United States
Language:
English

Citation Formats

Griffel, Lloyd M., Hartley, Damon S., and Kunz, Matthew R. Systems and methods for improved landscape management. United States: N. p., 2021. Web.
Griffel, Lloyd M., Hartley, Damon S., & Kunz, Matthew R. Systems and methods for improved landscape management. United States.
Griffel, Lloyd M., Hartley, Damon S., and Kunz, Matthew R. Tue . "Systems and methods for improved landscape management". United States. https://www.osti.gov/servlets/purl/1860053.
@article{osti_1860053,
title = {Systems and methods for improved landscape management},
author = {Griffel, Lloyd M. and Hartley, Damon S. and Kunz, Matthew R.},
abstractNote = {Disclosed here are systems, methods, apparatus, and/or non-transitory computer-readable storage comprising machine-readable code for the development and application of high-resolution crop yield models. The disclosed yield models may be captured yield data and corresponding remote sensing data covering relatively limited areas. Embodiments of the disclosed yield models may be capable of estimating spatial yield characteristics in areas for which accurate yield data are not available (and/or not practical to acquire), thereby enabling more widespread application of integrated land management techniques.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2021},
month = {11}
}

Works referenced in this record:

System and Method for Plant Monitoring
patent-application, May 2016