Authors: Dyer, J.A. And I.S. Selirio
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Published in: CBE Journal » CBE Journal Volume 19 (1977)

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Description: The importance of weather probabilities in the timeliness of farming operations has long been recognized in farm planning. Timeliness is a measure of the ability to perform an operation at the time that optimizes production (Hahn 1971). Timeliness constraints also explicitly define the required level of investment in farm machinery for any given type and size of operation. In long-term investment, the ability to schedule the time available between certain dates is crucial in deciding the machine size requirements (Hunt 1972). However, timeliness or scheduling in most farm operations depends on weather events. Thus weather probabilities such as haying weather weigh heavily in agricultural planning. This paper describes a new method of analysis for hay drying weather from a long-term planning point of view. The goal of the analysis was to produce probability estimates of hay making risks in a form which is USAble in farm machinery selection and other farm planning models (Batterham et al. 1973 Stonehouse 1971). The emphasis is on the methods of presentation and the rationale behind them. Haying weather presents a more complex problem than tillage workday weather(Brown and Van Die 1974 Selirio and Brown 1972) because once hay is cut, all weather events over the next few days must be endured until the hay becomes dry enough to harvest and store. Hence haying weather requires not only a different method of analysis but also a different method of data presentation.

Keywords: a new method of analysis for hay drying weather
Citation: Dyer, J.A. and I.S. Selirio 1977. A NEW METHOD OF ANALYSIS FOR HAY DRYING WEATHER. Canadian Agricultural Engineering 19(2):71-74.
Volume: 19
Issue: 2
Pages 71 - 74
Date: 1977
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Coverage: Canada
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