The Software Design Overview by Processing The Recording From Bird`s-Eye View Images to Determine The Crop Detection and Functionality of The Various Land Types

Authors : Eray YİLDİRİM, İsrafil ŞABİKOĞLU

Pages : 1696-1702

Doi:10.21597/jist.1134720

View : 27 | Download : 35

Publication Date : 2023-09-01

Article Type : Research Paper

Abstract :To meet the demand for food, humanity has begun to use the latest technologies such as artificial intelligence, the internet of things, and drones, in addition to advanced tractors, seeds, and crop planting methods. Precision agriculture has been achieved by using the latest technology in this field, especially in recent years, the use of drones for agricultural land spraying has gained great interest. In this study, a Python programming language was used to process the video footage of a certain height taken from agricultural land with the help of a drone, using individual photo frames obtained from the footage. Each pixel was separated into different color contrast values, and certain colors were distinguished by counting. The proportional distribution of different types of surfaces on the land was determined. The software enabled the determination of various geophysical properties such as the productivity of crops, crop development status, and identification of areas where the crop does not grow.
Keywords : Drone, Tarım arazisi, Programlama, Video işleme