Artificial Intelligence of the Water Supply System of Plant Growing Objects

Abstract

The article proposes a solution to the problem of achieving the maximum value of productivity of plant growing objects based on the introduction of artificial intelligence on the basis of neural networks in the water supply system of plants. Various factors affecting crop yields and plant growth are presented. Factors are considered as incoming signals for mathematical neurons of artificial intelligence. A diagram of the artificial intelligence neural network of the plant water supply system, its topology, and the corresponding mathematical model are constructed.