For the effective development of fish in pond farms, it is necessary to observe comfortable
conditions for the life and growth of aquaculture, which include such indicators of water …

The authors propose an algorithm for analysing and segmenting high-resolution images of
cultivated plant leaves by a convolutional neural network of deep learning in conditions of …

Актуальность исследования обусловлена необходимостью создания
интеллектуальной системы мониторинга состояния посевов сельскохозяйственных …

Актуальность исследования обусловлена необходимостью совершенствовании
технологий повышения продуктивности в рамках программируемого получения …

The authors classify modern approaches to the use of computer tools of artificial intelligence
and machine learning to solve problems of increasing the productivity of agrophytocenoses …

The authors propose a software package for analysis, visualization and computer monitoring
of agrophytocenoses with biotechnological methods of reproduction, which provides …

Research is aimed at increasing energy saving in the cultivation of vegetable, green and
aromatic crops in an environmentally friendly way. At present, there is a need to increase …

The yield and quality of potatoes depend on the degree of their infection with a number of
pathogens, including bacteria, fungi, viruses and viroids. A viral infection can cause …

The relevance of the study is due to the need to create an intelligent system for monitoring
the state of crops during the growing season on significant areas. The scientific problem of …

The paper presents the results of a study of the stimulating effect of the electromagnetic field
of the EHF (Extremely High Frequency) range on the sowing qualities of vegetable seeds …