Computer vision methods for mapping the state of agricultural fields

Authors: Kataev M. Yu., Yolgin K. S., Sorokin I. B.

Annotation: Automated visual assessment of the state of the earth and plants, withering and damage by pests of leaves, plant growth indicators, using computer vision (CV), can be used as a basis in intelligent (accurate) agriculture (AC). This article dis- cusses a brief review of the literature on the application of technical vision to analyze the state of agricultural fields and the plants growing on them. The introduction of CV systems into real production agricultural practice, for precision meas- urements, is associated with the development of complex mathematical approaches that must be resistant to various technical and weather changes. It is necessary to overcome image changes caused by atmospheric conditions and daily and seasonal variation of sunlight. An approach based on the RGB image obtained using a typical digital camera is pro- posed. The results of using CV systems in solving individual problems of AC.

Keywords: computer vision, mathematical methods, images, agriculture, image classification, unmanned aerial vehicle (uav)