Biological population model of locust migratory

Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, 108, Amir Temur Street, Tashkent, 100200, Uzbekistan

^* Corresponding author: dilnoz134@rambler.ru

Abstract

Ecological monitoring is essential for the timely detection of pests and diseases in crops and vegetation. It enables the implementation of appropriate measures to prevent the spread of harmful organisms and minimize the damage they cause. Mathematical modeling of the behavior of pests and insects, such as locusts, provides valuable insights into their flight patterns, propagation, and harmfulness. The development of mathematical models and computational algorithms allows researchers to simulate and predict the behavior of locusts and other harmful organisms, enabling the implementation of effective control measures. In addition to monitoring and controlling pests, ecological monitoring also provides valuable data on environmental trends, including climate change, air and water quality, and soil conditions. Such information is critical for developing strategies for sustainable resource management, including agriculture, forestry, and conservation. Overall, ecological monitoring and the development of mathematical models and computational algorithms play a crucial role in protecting the environment and ensuring the sustainable use of natural resources. These tools enable researchers and policymakers to make informed decisions about resource management and implement effective measures to mitigate the impact of harmful organisms and environmental degradation.