An online Nutrient Loading Model will be getting more help from the men and women in the field to improve its accuracy. The initiative, paid for with a grant by Heidelberg University's National Center for Water Quality Research, will help validate an online nutrient-tracking tool that will be used throughout the Great Lakes region.
Farmers will be trained on how to use the model and the data they collect to run scenarios in their own home or office, according to The Advertiser-Tribune. Farmers will be able to then check the data and compare it to actual farm outcomes to see how accurate the model is. The goal of the online tool is to help determine the environmental and economic impact of land management changes before they are made.
Collecting data over three or four years, the study will measure the level of nutrient flow from drain tiles and surface run-off. The data will be collected each year to measure the differences of nutrient run-off following crop rotation and other field changes.
Mobile Data Collection Improves Research, Tracking
The food supply chain is just one area that can benefit from increased mobile data collection. The ability to input and gather data in the field and quickly upload it to other models is essential in improving the accuracy and quality of information.
Mobile application software should allow users to collect and input data into a device that can be sent to the ERP from the field or a somewhere nearby where a connection is accessible. Managers making decisions at the enterprise need to be kept up to date on how processes in the field are taking place. Because each company is unique, they need customizable mobile application development. Workers in the field can access enterprise programs and improve the organization's mobile strategy.
Companies also have options when it comes to hardware. Some industries may require specialized hardware while others can rely on "bring your own device" solutions. If using their own devices, employees must have access to mobile application software that integrates with numerous mobile operating systems. Some may have tablets that run on an Apple iOS while others have an Android smartphone. Regardless of the chosen hardware, mobile data collection is the best way to collect at all the points of the supply chain, whether remote or in the plant.