Developed and launched by the US Department of Agriculture, the Non-Point Source Model is a comprehensive system developed as a response to the problem of handling the sources of pollution. This parameter-based model requires 22 input parameters, which are taken from the base data. The main goal of the Agricultural Non-point Source (AGNPS) Model is to identify and analyze the water problems in the rural and urban areas, giving experts a better idea of the reasons causing water and other pollutions.
The technology is also used to detect the water quality and find a perfect irrigation system for the farmland. To put it in simple words, AGNPS refers to the modern agricultural model that shows you the effect that any kind of management decision has on the water, chemical loadings, and other factors affecting agricultural production. Based on this information, it gets easier for the farmers to plant their crop production ahead of time and decide the best methods to give plants the nutrients they need for faster and safer growth.
How Does Agricultural Non-point Source (AGNPS) Model Help with Crop Production?
Starting as the single AGNPS unit, the system has now transformed into a combination of components. In the mid-1990s, the AGNPS model was enhanced to increase its capability and streamline the input data preparation. Now, the model is capable of being used across a large watershed system. The system has many applications in the agricultural industry. It can be used in combination with the GIS (geographic information system) to generate a clear view of the farmland, thus enabling farmers to cultivate the most suitable kind of crops on the field and choose the best irrigation and nutrient supply technique for the place.
GIS has shown improvements in agricultural practices over the past few years. This geospatial technology has the power to collect the data of the field and organize it into a map, thus providing you with an organized view of the vast farmlands. The GIS and Agricultural Non-point Source (AGNPS) Model are extensively used in the Ontario agricultural fields where the technology helps farmers make informed decisions about crop productivity, the right cultivation technique, and other crucial information.
How is the Model Applied to the Agricultural Fields?
As mentioned earlier, the main purpose of this model is to analyze the non-point sources of pollution so that farmers can take important steps to control the risks of pollution and crop damage. The end goal is to increase crop productivity and improve the quality of production. Several parameters are used in the model to make effective management decisions that can help control the sediment as well as nutrient pollution. The model is also used for determining the efficiency and quality of the water used in the agricultural fields, giving farmers detailed insights into the water quality and its impact on crop growth. This data is quite crucial for crop productivity since the water gives essential nutrients to the crop, speeding up their growth and ensuring high productivity at the time of harvest.