Image Recognition in Agriculture and Landscape Protection

This paper provides an overview of some studies on image recognition of crops, plants and woodlands. For image recognition in these areas, various methods of preprocessing, computer vision, and deep learning are used. The publications on the recognition, classification of fruits and vegetables in orchards, on the automation of grain harvesting are considered, articles on the recognition of agricultural plants based on leaf images are analyzed. Articles on the development of mobile systems for monitoring and recognizing the process of growing mushrooms based on the green house technology for farms are presented. The work on recognition, classification of forests, water resources using hyperspectral analysis of satellite images is described.