[U-03] Remote Sensing Role in Sustainable Development

[U03-05] USING VEGETATION INDICES TO EVALUATE FALLOW TYPES IN WHEAT FIELDS IN MONGOLIA

*Shinebayar Turbat¹, Myagmarjav Indra², Erdenechimeg Zorigt³, Batbileg Bayaraa⁴, Ariuntsetseg Dugar⁵, Enkhjargal Baljii⁶, Sarangerel Jarantaibaatar⁷, Erdenechandmani Jargalsaikhan⁸, Khishigjargal Mookhor⁹ (1.Senior lecturer , 2.Professor, 3.Associate Professor , 4.Senior lecturer of Department of Land management, 5.Senior lecturer, 6.Senior lecturer of Department of Horticulture, Forest and Land architecture , 7.Lecturer, 8.Associate Professor of Department of Land management, 9.Associate Professor Department of Ecology)

Keywords:wheat, drone technology, vegetation index, Mongolia

Wheat (Triticum aestivum L.) is a vital crop for global food production and security. In Mongolia, it is designated as a key strategic crop under the Food Law, serving as the primary raw material for various food products. Enhancing agricultural productivity in Mongolia requires the adoption of smart agricultural technologies, the implementation of irrigated farming practices, and the optimization of crop management during the growing season. These measures can improve crop loss prediction, enhance harvest planning, increase efficiency, and reduce yield losses. Aligning with global trends, scientific research is crucial for integrating drone technology into Mongolian agriculture. This study evaluates different fallow types in wheat cultivation using vegetation indices derived from drone imagery. The findings can serve as a valuable resource for decision-makers and farmers in Mongolia’s agricultural sector.