Article ID: | iaor20032834 |
Country: | United States |
Volume: | 74 |
Issue: | 1 |
Start Page Number: | 79 |
End Page Number: | 98 |
Publication Date: | Oct 2002 |
Journal: | Agricultural Systems |
Authors: | Jones J.W., Welch S.M., Brennan M.W., Reeder G., Jacobson B.M. |
Keywords: | artificial intelligence: decision support, simulation: applications |
Soybean farmers make decisions based on diverse information. However, one tool not widely utilized is crop simulation. Perceived barriers are burdensome inputs, user unfriendliness, and hard-to-interpret results. Our approach combines the CROPGRO-Soybean model with a window-based, user interface addressing these problems. The resulting, simple-to-use program, PCYield, contains features of more complex systems including (1) field-specific data management, (2) Internet access to real-time weather data, (3) production risk indicators, and (4) graphical outputs. A unique aspect of this project was the participation of a private weather data corporation and, through them, a national chain of agricultural input and service providers. The paper describes the project history, developmental policy issues, technical problems, market testing and subsequent software privatization. Positive producer reactions have included requests for more advanced features. This suggests that grower acceptance of complex models can be gained over time by beginning with simple aids and enhancing them with user-requested upgrades.