Azerbaijan Introducing AI System To Support Farmers And Forecast Crop Yields
He stated that the new project dubbed 'AI in Agriculture' is set to lend a helping hand to the ministry, farms, and government partners in making decisions backed by data.
The project, launched by the Ministry of Agriculture, covers more than 30 application cases, including water management, soil analysis, pest and disease monitoring, and a national farmer assessment system.
It leverages an extensive dataset encompassing climatological
variables, edaphic properties, plant genomic information, and five
decades of historical modeling to forecast frost vulnerabilities,
pollination anomalies, and the ramifications of phytopathological
threats on agricultural yields.
An essential component of the initiative involves the integration
of crop and soil mapping methodologies leveraging satellite
imagery, aerial photogrammetry, and unmanned aerial vehicles,
complemented by an extensive dataset of 65,000 soil samples. This
multifaceted approach facilitates the delineation of optimal
agronomic zones and the continuous assessment of edaphic
properties.
Moreover, he articulated that a comprehensive agrarian evaluation
framework has been implemented, currently encompassing 30,000
stakeholders, enabling financial institutions, corporations, and
the Ministry of Agriculture to formulate strategies predicated on
agronomic efficacy.
As Novruzov drove home, the initiative serves to mitigate economic
vulnerabilities, enhance output metrics, and optimize product
placement within both domestic and international marketplaces.
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