Extreme climatic events such as untimely frosts or heavy rainfall can devastate a farming enterprise. Historical weather data can be used to estimate the risk of this kind of event, in order to prioritize investment in mitigatory measures. However, software to calculate and display the risk information is usually tied to a particular database. This paper describes two Java applets that use historical weather data to calculate the probability of air temperature, rainfall or wind speed being lower or higher than user-nominated thresholds. The first applet displays the monthly probabilities of such events, and the daily cumulative probabilities of the first and last occurrence of an event within a season at a site. Weather data can be used from any one of eleven online climate databases, accessed through the MetBroker system. The risk of frosts of varying severity at two sites of similar absolute latitude, one in New Zealand and one in Japan, are compared to demonstrate the capabilities of the software. The second applet shows the spatial variation in risk over a region, calculating the risk at each weather station in the region and, in the case of temperature, interpolating temperatures between stations.

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Specific software has been designed for farmers to undertake practical budget management on personal computers. This system was designed using Microsoft Visual Basic Ver 6.0 operationg under a 32 bit Microsoft OS. This is the standard OS for personal computers to work with this kind of software.
This system creates budget sheets for budget management, saving farmers time and trouble. which is the principal merit of this software. In non-agricultural business, cash flow sheets are commonly used. In this paper, the budget management software is applied to cash flow sheet and Matrix Formulation of Accounting Sheets, to make then accessible to small farmers.
Matrix Formulation of Accounting Sheets are very detailed; therefore it takes a lot of effort to make them, and even more time and energy to analyze the information. With this software these troubles are reduced. It is used to make two cash-flow sheets (one is for the existing budget and the other is for planning future budget) by automatically recounting bookkeeping data. By doing this farmers will avoid cumbersome procedures for budget management. The software developed reduces the size of the matrix, facilitates navigation, and performs complicated calculations, in order to help farmers with the analysis. For cash flow sheets, an additional feature has been added in order to separate agriculture activities from non-agriculture activities.

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In this research, we have attached great importance in recent years to precisely generating extremely localized weather information so as to develop an agricultural journal system that can be effectively used in farming. As a result, farmers have access to meshed weather information with a resolution of 1 km² by having simple access on the Internet to their local agricultural information center. The system is comprised of an agricultural journal that allows farmers to keep cultivation and 1 km mesh weather information that is precisely applied to the farm. More functionally, the innovative journal system can be used to comprehensively manage the state of cultivation and will allow farmers to easily analyze extremely localized weather information themselves. Accordingly, we can expect on improved farming management since this system will contribute to a necessary regional information network and popularize innovative farming in the future.

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