Early prediction of wheat grain yield production from root-zone soil water content at heading using the proximal sensing-based Crop RS-Met model.

Original language	American English
State	Published - 2018
Event	AGU Fall Meeting 2018 - AGU, Washington, D.C., United States Duration: 10 Dec 2018 → 14 Dec 2018 https://agu.confex.com/agu/fm18/prelim.cgi/ (Website)

Conference

Conference	AGU Fall Meeting 2018
Country/Territory	United States
City	Washington, D.C.
Period	10/12/18 → 14/12/18
Internet address	https://agu.confex.com/agu/fm18/prelim.cgi/ (Website)

Activities

• 1 Organizing a conference, workshop, ...

Activities per year

• AGU Fall Meeting 2018

  Lensky, I. (Participation - Conference participant)

  10 Dec 2018 → 14 Dec 2018

  Activity: Participating in or organizing an event › Organizing a conference, workshop, ...

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Helman, D., Lensky, I., & Bonfil, D. (2018). Early prediction of wheat grain yield production from root-zone soil water content at heading using the proximal sensing-based Crop RS-Met model.. Paper presented at AGU Fall Meeting 2018, Washington, D.C., United States.

Helman, D. ; Lensky, I. ; Bonfil, D. / Early prediction of wheat grain yield production from root-zone soil water content at heading using the proximal sensing-based Crop RS-Met model. Paper presented at AGU Fall Meeting 2018, Washington, D.C., United States.

@conference{4643179e9c7945a38c141c1f922ade0c,

title = "Early prediction of wheat grain yield production from root-zone soil water content at heading using the proximal sensing-based Crop RS-Met model.",

author = "D. Helman and I. Lensky and D. Bonfil",

year = "2018",

language = "American English",

note = "AGU Fall Meeting 2018 ; Conference date: 10-12-2018 Through 14-12-2018",

url = "https://agu.confex.com/agu/fm18/prelim.cgi/",

}

Helman, D, Lensky, I & Bonfil, D 2018, 'Early prediction of wheat grain yield production from root-zone soil water content at heading using the proximal sensing-based Crop RS-Met model.', Paper presented at AGU Fall Meeting 2018, Washington, D.C., United States, 10/12/18 - 14/12/18.

Early prediction of wheat grain yield production from root-zone soil water content at heading using the proximal sensing-based Crop RS-Met model. / Helman, D.; Lensky, I.; Bonfil, D.
2018. Paper presented at AGU Fall Meeting 2018, Washington, D.C., United States.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Early prediction of wheat grain yield production from root-zone soil water content at heading using the proximal sensing-based Crop RS-Met model.

AU - Helman, D.

AU - Lensky, I.

AU - Bonfil, D.

PY - 2018

Y1 - 2018

M3 - Paper

T2 - AGU Fall Meeting 2018

Y2 - 10 December 2018 through 14 December 2018

ER -

Helman D, Lensky I, Bonfil D. Early prediction of wheat grain yield production from root-zone soil water content at heading using the proximal sensing-based Crop RS-Met model.. 2018. Paper presented at AGU Fall Meeting 2018, Washington, D.C., United States.