INFORMATION AND ANALYTICAL SUPPORT FOR PRECISION FARMING AND AGRICULTURAL MONITORING TASKS BASED ON EARTH REMOTE SENSING DATA AND GIS TECHNOLOGIES

The article discusses the current state of digitalization in agriculture in the Russian Federation and the main challenges associated with it. It also highlights the importance of information and analytical support for agricultural monitoring tasks and precision farming. Significant progress has been made in the development of systems for collecting, analyzing, and using data to monitor and manage agricultural processes. These systems rely on remote sensing data and GIS technologies. The future of the agricultural industry lies in the adoption of new satellite and unmanned aircraft technologies, as well as access to analytical data and services. These innovations will allow for more accurate and efficient monitoring of agricultural processes, leading to increased productivity and sustainability.

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Published
2024-10-07
DOI
https://doi.org/10.52686/9785605087878_36
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

INFORMATION AND ANALYTICAL SUPPORT FOR PRECISION FARMING AND AGRICULTURAL MONITORING TASKS BASED ON EARTH REMOTE SENSING DATA AND GIS TECHNOLOGIES

Oleg Yakubaylik
Smart Agriculture and AI
article

INFORMATION AND ANALYTICAL SUPPORT FOR PRECISION FARMING AND AGRICULTURAL MONITORING TASKS BASED ON EARTH REMOTE SENSING DATA AND GIS TECHNOLOGIES

Oleg Yakubaylik
article en

Abstract

The article discusses the current state of digitalization in agriculture in the Russian Federation and the main challenges associated with it. It also highlights the importance of information and analytical support for agricultural monitoring tasks and precision farming. Significant progress has been made in the development of systems for collecting, analyzing, and using data to monitor and manage agricultural processes. These systems rely on remote sensing data and GIS technologies. The future of the agricultural industry lies in the adoption of new satellite and unmanned aircraft technologies, as well as access to analytical data and services. These innovations will allow for more accurate and efficient monitoring of agricultural processes, leading to increased productivity and sustainability.

Institute of Computational Modeling (RU)
Zero hunger
Openalex Percentile: Top 90%
Smart Agriculture and AI
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