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Description

A comprehensive report presenting estimated costs of production for major crops in the Woodland area. The document details equipment charges, land and water costs, labor rates, and investment analysis for crops such as alfalfa, barley, milo, sugar beets, and tomatoes. It includes tables and calculations for both owner-operators and renters, with breakdowns of cash, labor, and investment costs. The study is intended to aid growers in understanding and comparing agricultural production expenses.

Details

Title
Sample Costs of Production: An Enterprise Study on Equipment Charges & Cost Estimates of Selected Crops Grown in the Woodland Area
Creator
Melvin P. Zobel
Carl Schoner
Thomas E. Kearney
Philip S. Parsons
Published
1963, University of California Agricultural Extension Service
Full Collection Name
University of California Agricultural Extension Publications
Subject (Topic)
Cost estimates
Crops
Operating costs
Labor costs
California, Northern
Keyword
agricultural economics ; cost estimates ; crop production ; equipment charges ; Woodland area ; Yolo County ; California agriculture
Type
Text
Archive
Bioscience, Natural Resources & Public Health Library
Usage Statement
Researchers may make free and open use of the UC Berkeley Library’s digitized public domain materials. However, some materials in our online collections may be protected by U.S. copyright law (Title 17, U.S.C.). Use or reproduction of materials protected by copyright beyond that allowed by fair use (Title 17, U.S.C. § 107) requires permission from the copyright owners. The use or reproduction of some materials may also be restricted by terms of University of California gift or purchase agreements, privacy and publicity rights, or trademark law. Responsibility for determining rights status and permissibility of any use or reproduction rests exclusively with the researcher. To learn more or make inquiries, please see our permissions policies (https://www.lib.berkeley.edu/about/permissions-policies).
Collection
Source of Description
Record generated by JSTOR Seeklight AI, November 2025

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