ALFALFA DRYING MODEL FOR THE FIELD ENVIRONMENT.

Clarence Alan Rotz; Chen Yi Chen

ALFALFA DRYING MODEL FOR THE FIELD ENVIRONMENT.

Clarence Alan Rotz, Chen Yi Chen

Agricultural & Biological Engineering

Research output: Contribution to journal › Conference article › peer-review

4 Scopus citations

Abstract

Field drying rate of alfalfa was correlated with weather, crop and soil conditions to determine the influence of these factors on drying. Models were developed through nonlinear regression which predict alfalfa moisture content over time as a function of the more important factors. Drying was primarily related to solar intensity with some influence from air temperature or vapor pressure deficit, soil moisture content, swath density and chemical conditioning.

Original language	English (US)
Journal	Paper - American Society of Agricultural Engineers
State	Published - Dec 1 1985

All Science Journal Classification (ASJC) codes

Agricultural and Biological Sciences (miscellaneous)

Cite this

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title = "ALFALFA DRYING MODEL FOR THE FIELD ENVIRONMENT.",

abstract = "Field drying rate of alfalfa was correlated with weather, crop and soil conditions to determine the influence of these factors on drying. Models were developed through nonlinear regression which predict alfalfa moisture content over time as a function of the more important factors. Drying was primarily related to solar intensity with some influence from air temperature or vapor pressure deficit, soil moisture content, swath density and chemical conditioning.",

author = "Rotz, {Clarence Alan} and {Yi Chen}, Chen",

year = "1985",

month = dec,

day = "1",

language = "English (US)",

journal = "Paper - American Society of Agricultural Engineers",

issn = "0145-0166",

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TY - JOUR

T1 - ALFALFA DRYING MODEL FOR THE FIELD ENVIRONMENT.

AU - Rotz, Clarence Alan

AU - Yi Chen, Chen

PY - 1985/12/1

Y1 - 1985/12/1

N2 - Field drying rate of alfalfa was correlated with weather, crop and soil conditions to determine the influence of these factors on drying. Models were developed through nonlinear regression which predict alfalfa moisture content over time as a function of the more important factors. Drying was primarily related to solar intensity with some influence from air temperature or vapor pressure deficit, soil moisture content, swath density and chemical conditioning.

AB - Field drying rate of alfalfa was correlated with weather, crop and soil conditions to determine the influence of these factors on drying. Models were developed through nonlinear regression which predict alfalfa moisture content over time as a function of the more important factors. Drying was primarily related to solar intensity with some influence from air temperature or vapor pressure deficit, soil moisture content, swath density and chemical conditioning.

UR - http://www.scopus.com/inward/record.url?scp=0022223493&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0022223493&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0022223493

SN - 0145-0166

JO - Paper - American Society of Agricultural Engineers

JF - Paper - American Society of Agricultural Engineers

ER -

ALFALFA DRYING MODEL FOR THE FIELD ENVIRONMENT.

Abstract

All Science Journal Classification (ASJC) codes

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