Source: UNIVERSITY OF WASHINGTON submitted to
NRP
DEVELOPMENT OF YIELD PREDICTION TECHNOLOGY FOR VEGETABLE CROPS BASED ON CROP MODELING AND MACHINE-LEARNING ALGORITHMS
Sponsoring Institution
Other Cooperating Institutions
Project Status
COMPLETE
Funding Source
STATE
Reporting Frequency
Annual
Accession No.
1024929
Grant No.
(N/A)
Cumulative Award Amt.
(N/A)
Proposal No.
(N/A)
Multistate No.
(N/A)
Project Start Date
Oct 8, 2020
Project End Date
Dec 31, 2024
Grant Year
(N/A)
Program Code
[(N/A)]- (N/A)
Recipient Organization
UNIVERSITY OF WASHINGTON
4333 BROOKLYN AVE NE
SEATTLE,WA 98195
Performing Department
UW Main Campus- Seattle, WA
Non Technical Summary
N/A
Animal Health Component
(N/A)
Research Effort Categories
Basic
100%
Applied
(N/A)
Developmental
(N/A)
Classification
Knowledge Area (KA)
Subject of Investigation (SOI)
Field of Science (FOS)
Percent
601
1499
2080
100%
Knowledge Area
601 - Economics of Agricultural Production and Farm Management
;
Subject Of Investigation
1499 - Vegetables, general/other
;
Field Of Science
2080 - Mathematics and computer sciences
;
Keywords
crop yield
farm management
simulation models
Goals / Objectives
We are reporting on this Rural Development Administration (RDA) award as a state project simply so that it appears on our financial report template. Further information about this research project is available upon request.
Project Methods
N/A