| Issue |
BIO Web Conf.
Volume 71, 2023
II International Conference on Current Issues of Breeding, Technology and Processing of Agricultural Crops, and Environment (CIBTA-II-2023)
|
|
|---|---|---|
| Article Number | 01007 | |
| Number of page(s) | 8 | |
| Section | Issues of Sustainable Development of Agriculture | |
| DOI | https://doi.org/10.1051/bioconf/20237101007 | |
| Published online | 07 November 2023 | |
Algorithm for recognition of images of agricultural crops
1 “Tashkent Institute of Irrigation and Agricultural Mechanization Engineers” National Research University, Tashkent, Uzbekistan
2 Research Institute for the Development of Digital Technologies and Artificial Intelligence, Tashkent, Uzbekistan
* Corresponding author: dilnoz134@rambler.ru
Remote sensing includes all types of non-contact. surveys that are carried out from various measuring platforms. The tasks in this area are the following: inventory of agricultural land, control of the state of crops, forecasting yields. The aim of the work is to classify 6 types of crop images (wheat, rice, sugarcane, corn, cotton and jute) with greater accuracy. The paper considers an algorithm for primary processing and recognition of images of agricultural crops and algorithms for constructing a neural network for initial processing and recognition of images to solve problems of noise elimination, minimization, smoothing, normalization, segmentation and image recognition.
© The Authors, published by EDP Sciences, 2023
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