Year: 2024
Type: conference-paper
Abstract: In a neural network, it is possible, based on the analysis of several million photographs, to teach in a few milliseconds to distinguish cultivated crops from weeds. By analyzing the effectiveness of herbicides, the neural network is able to make the right decisions to reduce crop contamination. A neural network can distinguish a healthy plant from a sick one. The system is able to determine the degree of threat to future crops and suggest ways to solve the problem. In the agro-industrial complex of the Russian Federation, there are a large number of tasks that can be solved using artificial intelligence. The trained neural network is able to adapt to the agro-climatic features of regions and individual market agents.
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: bronze
OpenAlex ID: W4405899747