The article discusses how drone technologies are used to study grain production in agriculture. Panel data from farms in Piskent district is analyzed using econometric models to understand the factors influencing grain growth. The study shows that panel data can have temporal, spatial, and group dimensions, and is important for accurate modeling. Different models can give varying results, but regression parameters remain significant. The research suggests using a consistent model for studying grain production and its influencing factors. The findings help interpret the results and determine direct and indirect effects on grain growth.