Overview of intelligent technologies for ecosystem bioproductivity management based on neural network algorithms

Abstract

Abstract One of the most promising areas of development of the management system of programmable agricultural production and increasing its productivity is currently the use of digital technologies and intelligent decision support systems based on neural network algorithms. Integration with remote monitoring systems of fields will allow you to monitor the condition of crops, make timely decisions on the implementation of appropriate agrotechnical measures, taking into account the specifics of land conservation and increasing the level of resource conservation. The article provides an overview of approaches to ecosystem productivity management using neural network algorithms and information technologies implementing them.