Precision Agriculture through Local Raster Spatial Analysis for Crop Scouting

Jeffrey Reiff
jgreiff@arizon.edu
Presentation Time: Wed, 12/06/2023 - 09:00
Keywords: Precision Agriculture, Crop Scouting, Spatial Analysis, GIS, Remote Sensing

Abstract

Stage and lifecycle crop monitoring and assessment are pivotal in agriculture and farming. The increase in global populations, food demand, tighter regulations, and the overall cost of doing business have increased the burden on farmers to meet these challenges while sustaining their businesses and the environment. Farmers must adapt their growing and harvest operations to increase yields that meet the global market and adhere to sustainable farming standards that combat environmental impacts. All while reducing their operating costs. Crop management is often a fieldwork and labor-intensive data collection process. This work will highlight how modern technology in the areas of remote sensing, raster analytics, Geographic Information Systems (GIS), and WebGIS can be applied to analyze and process raster data and environmental information that can be used to calculate vegetation indices. If properly applied, these derived datasets and analyses can be transformed into web services for modern farm equipment and native mobile or web applications for field work, informing precision agriculture practices to tackle the problems mentioned above that today’s local farmers and agronomists encounter.