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Computer program for forecasting and calculating the number of winter wheat phytophages
Author(s) -
Н Н Глазунова,
Yu.A. Bezgina,
Л В Мазницына,
Л. В. Тутуржанс,
L. A. Mikhno
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/548/3/032018
Subject(s) - abiotic component , variety (cybernetics) , winter wheat , agriculture , process (computing) , biology , ecology , agricultural engineering , agronomy , mathematics , computer science , statistics , engineering , operating system
Modern GIS technologies used in agriculture are able to analyze a variety of indicators, and allow you to integrate the data, as they are all geo-referenced and specialized in working with spatial information. For a long period of time, we have been conducting studies on phytophages on various crops, the main of which is winter wheat. In the process of research, an analysis of the general structure of winter wheatagrocenosis was carried out. A large variety of relationships has been established that affect the number of pests that are exposed to various exogenous factors. All the identified factors were divided into categories, allowing to determine the characteristics of changes in the number of phytophages in crops at different stages of its development and to assess their degree of influence on the triotrophic system “winter wheat - phytophage - entomophage” in space and time. This analysis allowed to establish the main factors influencing the number of insects in the process of winter wheat development and create a computer program. When creating a program, a certain phase of winter wheat ontogenesis with factors (abiotic, biotic and anthropogenic) acting on it was taken as a basis. Filling the database of agricultural land, the issuance of data on the morphological and biological features of pests and their entomophages are given in the form of reference books. As a result, the created program allows to predict the number of dominant species of phytophages and the optimal timing of protective measures, depending on the stage of winter wheat ontogenesis and changing environmental conditions.

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