Pengaruh Integrasi Teknologi Drone dan AI terhadap Kualitas Hasil Panen pada Usaha Agribisnis Jagung

This research examines the issues encountered by the corn agribusiness harvests sector in sustainably enhancing production and the quality of yields. Traditional agricultural practices frequently exhibit inefficiencies in land surveillance and agronomic decision-making. The amalgamation of drone technology and artificial intelligence (AI) provides novel solutions via real-time land mapping, plant health assessment, and the optimization of water and fertilizer application. This project seeks to examine the effects of integrating drone technology and AI on the quality of corn agribusiness harvests, specifically with enhancements in efficiency and output quality. The employed research methodology is a quantitative approach utilizing a quasi-experimental design. The research sample comprises two groups of corn farming: the control group (without technology) and the treatment group (utilizing drones and AI). We gathered data through field observations, interviews, and documentation, which we then evaluated using an independent t-test. The research findings indicate a substantial disparity in harvest quality between the treatment group and the control group. The utilization of drones and artificial intelligence enhances the consistency of corn size, diminishes crop damage, and augments efficiency in the cultivating process. This research concludes that the amalgamation of drone and AI technology substantially enhances the quality of corn agribusiness harvests. We recommend the broader implementation of this technology in agribusiness operations to boost productivity and sustainability within the agriculture sector.