MiniCSS: a software application to optimize crop irrigation and nitrogen fertilization strategies

Abstract

Water resources are limited and agricultural input costs are steadily increasing; moreover, precipitation seems to be decreasing in amount or, at least, received in a more irregular manner. Correctly deciding irrigation and fertilization amount and time implies to simultaneously consider phenological and nutritional crop status, weather pattern during the irrigation season and taking into account the economic and energy budgets. To treat all these complexities, the use of crop simulation models is particularly indicated. Models are strictly connected to academic and research contexts and have not wide-melted farmers and agricultural technicians, despite they are strongly encouraged to optimize the use of water and fertilizer. MiniCSS, a software for the optimization of irrigation and nitrogen (N) fertilization by simulation is here presented. Its primary aim is to be easy to use, thanks to a reduced number of input parameters and a user-friendly dialog window. MiniCSS can perform i) annual/multiannual simulations, ii) simulation experiments by varying irrigation and fertilization intensity, iii) calibration of the model parameters and iv) optimization of other cultural practices. Textual and graphical results are reported as daily values, annual averages, cumulative probability and dose-response curves.

Downloads

Download data is not yet available.

Author Biographies

Alvaro Rocca, University of Udine
Department of Agricultural and Environmental Sciences
Francesco Danuso, University of Udine
Department of Agricultural and Environmental Sciences
Published
2011-04-20
Section
Original Articles
Keywords:
Optimisation, Irrigation, Fertilization, Simulation, Crop, Model, DSS decision support system
Statistics
Abstract views: 1032

PDF: 212
HTML: 1390
Share it

PlumX Metrics

PlumX Metrics provide insights into the ways people interact with individual pieces of research output (articles, conference proceedings, book chapters, and many more) in the online environment. Examples include, when research is mentioned in the news or is tweeted about. Collectively known as PlumX Metrics, these metrics are divided into five categories to help make sense of the huge amounts of data involved and to enable analysis by comparing like with like.

How to Cite
Rocca, A., & Danuso, F. (2011). MiniCSS: a software application to optimize crop irrigation and nitrogen fertilization strategies. Italian Journal of Agronomy, 6(2), e13. https://doi.org/10.4081/ija.2011.e13