The technology was piloted in North Carolina, Iowa, and Texas, using a GoPro camera mounted on drones. The camera captures aerial footage, processed through Structure-from-Motion techniques to produce a detailed 3D map of the terrain. This approach not only provides a realistic view of the biomass but also identifies areas vulnerable to weed infestations.
As part of ongoing research, NCSU graduate student Avi Goldsmith is testing the accuracy of this technology in predicting late-season weed growth. The focus is on cereal rye, a cover crop known for its robust biomass and weed suppression capabilities.
This project represents a proactive approach to agriculture management, promising to reduce herbicide use, improve soil health, and ensure water quality downstream.
As this technology develops, it could become a standard tool for farmers striving to maintain sustainable and productive operations amidst increasing challenges from resistant weeds.