Full TGIF Record # 335335
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Web URL(s):https://lsc-pagepro.mydigitalpublication.com/publication/?m=61389&i=818207&p=84&pp=2&ver=html5
    Last checked: 04/03/2024
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https://cdn.coverstand.com/61389/818207/b774c7d8cbcebc24f719d48a0be74924135f8650.1.pdf#page=85
    Last checked: 04/03/2024
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    Notes: Item is within a single large file
Publication Type:
i
Professional
Author(s):Errickson, William; Huang, Bingru
Author Affiliation:Errickson: Rutgers University, New Brunswick, N.J.; Huang: Ph.D. and Rutgers University, New Brunswick, N.J.
Title:Needs assessment for remote sensing- and machine learning-guided precision turfgrass irrigation programs: Findings from a socioeconomic survey
Section:Cutting edge
Other records with the "Cutting edge" Section
Source:Golf Course Management. Vol. 92, No. 4, April 2024, p. 83.
Publishing Information:Lawrence, Kansas: GCSAA Communications
# of Pages:1
Language:English
References:0
See Also:Original version appears in ASA, CSSA, SSSA International Annual Meeting, 2023, p. 150720, R=333501. R=333501
Note:TIC-hosted web link available 1 month after publication date.
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ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Errickson, W., and B. Huang. 2024. Needs assessment for remote sensing- and machine learning-guided precision turfgrass irrigation programs: Findings from a socioeconomic survey. Golf Course Management. 92(4):p. 83.
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Web URL(s):
https://lsc-pagepro.mydigitalpublication.com/publication/?m=61389&i=818207&p=84&pp=2&ver=html5
    Last checked: 04/03/2024
    Notes: Item is within a single large file
https://cdn.coverstand.com/61389/818207/b774c7d8cbcebc24f719d48a0be74924135f8650.1.pdf#page=85
    Last checked: 04/03/2024
    Requires: PDF Reader
    Notes: Item is within a single large file
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MSU catalog number: in00001211688
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