Dollars and Sense of Alfalfa: Marketing Your High Yield, High Quality Alfalfa at High Prices

It seems every farmer wants to be in the commercial hay business--growing hay for the cash market. Have you ever stopped to think about the amount of hay that would be produced if everyone who talked about producing hay actually produced hay

You Can Make Money Producing and Marketing Alfalfa in the 80\u27s

We are today, as we were during most of the 70\u27s, concerned with the future of the forage enterprise and the livestock species that depend on it. Will they survive an environment in which the emphasis is on grain exports? Will they survive in an environment in which consumers are not able (but hopefully willing) to pay prices for red meats which are profitable for all segments of the livestock industry? Will they survive in the 80\u27s when real interest rates will be relatively high

PASTURE LEASE--FORM 2 (CASH RENT BASED ON ACRES)

In many applications surfaces with a large number of primitives occur. Geometry compression reduces storage space and transmission time for such models. A special case is given by polygonal isosurfaces generated from gridded volume data. However, most current state-of-the-art geometry compression systems do not capitalize on the structure that is characteristic of such isosurfaces, namely that the surfaces are defined by a set of vertices on edges of the grid. In a previous paper we had proposed a compression method for isosurfaces that is designed to exploit this feature. In this paper we use the same coding approach, however, including context models for the encoding of the symbol streams. We report improved compression ratios by about 20% for complex isosurfaces from a CT scan of a human head. For this data set our new coder outperformed state-of-the-art general purpose geometry compression methods by a factor of 2.6 to 3.4 in terms of compression ratio. We also report results obtained by two predictive coding methods based on least squares function fitting and a surface relaxation algorithm