Abstract
Optimizing Sweet Potato Profitability Using GIS Track: Agriculture Author(s): Kweku Donkor The objective of this project was to use grid sampling and statistical analysis to characterize and map plant soil properties based on such parameters as soil pH, soil texture, soil moisture, plant stand, and nutrient availability via soil and tissue sampling. This project is designed to improve farming practices among disadvantaged farmers in the Mississippi Delta region using global positioning system (GPS) receivers, GIS, and other related technologies. Using ArcGIS software, maps of varying nutrient levels and yield across fields were developed, which aided in precise prescription for fertilizer, irrigation, pesticides, and herbicides. The results of the work done would be made conveniently accessible and relevant to farmers and stakeholders involved using Internet-based technologies and workshops. A Web-based information system/application is being developed for this research project. This project is funded by Cooperative State Research, Education, and Extension Services (CSREES) of the U.S. Department of Agriculture. Kweku Donkor Alcorn State University Advanced Technologies 1000 ASU Dr. ## 360 Lorman , MS 39096 US Phone: 601-877-6484 E-mail: kweku_d@yahoo.com |
|||||
