Use of Drones in Crop Yield Monitoring, Digital Field Maps, and AI Analytics for Crop Yield Forecasting. SDG 9 – Industry, Innovation and Infrastructure

From December 3 to 5, a scientific and practical event dedicated to the application of modern digital technologies in agriculture was held at the Department of Cartography and Geoinformatics. The event focused on the use of drones in crop yield monitoring, the development of digital field maps, and the application of AI analytics for crop yield forecasting.

The event is closely aligned with the United Nations Sustainable Development Goal 9 — “Industry, Innovation and Infrastructure”, as the development of digital agro-infrastructure and the implementation of innovative technologies and intelligent systems contribute to the modernization and sustainable development of the agricultural sector.

The event was conducted by Professor of the Department of Cartography and Geoinformatics, Doctor of Biological Sciences Әліпбеки O.Ә., who presented modern approaches to integrating geoinformation technologies, remote sensing, and artificial intelligence into agricultural practices.

During the event, the capabilities of unmanned aerial vehicles for rapid assessment of crop conditions, identification of spatial variability in fields, and analysis of factors affecting productivity were demonstrated. Special attention was given to digital field maps as a key component of precision agriculture and a basis for data-driven decision-making.

In addition, crop yield forecasting methods based on the processing of large datasets, including satellite and drone imagery, climatic indicators, and agrotechnical parameters, were discussed. The use of artificial intelligence algorithms improves forecast accuracy and enhances the efficiency of agricultural planning.

The purpose of the event was to present digital tools aimed at increasing the efficiency of agriculture.