Designing an Open Field Precision Agriculture System Using Drones

Abstract

The study aimed to determine the performance of precision agriculture systems in detecting crop stress, disease, and other abnormalities and to provide farmers with convenience in managing their crops. The study found that among the spectral indices, NDVI and NDRE are effective in detecting crop stress and disease, while VARI is useful in identifying fields that need additional irrigation or fertilizer. Overall, the study shows the potential of an open field precision agriculture system using UAVs and spectral indices to improve crop management and productivity. The findings have implications for farmers, agricultural technology companies, and policy makers, and emphasize the need for continued investment in research and development to address the challenges and opportunities in this rapidly evolving field.