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Several sources of risk influence production decisions and impact yields and profits in production agriculture. Weather risk is of concern to farm decision-makers for the timing of applications, machinery management decisions, and whole-farm planning. A first step in the farm management decision-making process is to determine the expected number of days suitable for fieldwork. Although the number of good days to conduct field operations varies each year, the probability of having a certain number of days can be estimated from publicly available data from the USDA National Agricultural Statistics Service (NASS). An interactive graph has been created that displays the current weekly observed days suitable data against the long-term trends for Kansas. This tool connects to USDA NASS datasets to automatically update with the most recent weekly data.

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Historic farmland values are of interest to farmers, landowners, lenders, and policy makers. An index of farmland values (using the “ag land including buildings asset value per acre” data from USDA NASS) can be used to estimate farmland value for a given year using a known value for the farmland from another year. These indexes can be used to estimate farmland value for a given year using the current farmland value. In other words, if the current value of farmland is known, a value can be estimated for any year since 1950.
A shiny app was developed to allow users to interact with decision-making tools including comparing each state with average US values as well as mapping the data. Additional calculators provide insights for decision makers considering tax implications.

Historic farmland values are of interest to farmers, landowners, lenders, and policy makers. An index of farmland values (using the “ag land including buildings asset value per acre” data from USDA NASS) can be used to estimate farmland value for a given year using a known value for the farmland from another year. These indexes can be used to estimate farmland value for a given year using the current farmland value. In other words, if the current value of farmland is known, a value can be estimated for any year since 1950.
A shiny app was developed to allow users to interact with decision-making tools including comparing each state with average US values as well as mapping the data. Additional calculators provide insights for decision makers considering tax implications.

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