“Within the framework of the project, more than 30 artificial intelligence modules have been identified with the aim of making decision-making in the agricultural sector more accurate and data-driven. These modules bring together soil, climate, satellite data, field observations, and other data sources, supporting the decision-making process both in the state’s strategic management related to agriculture and in farmer holdings.”
“Elchi” reports that this was stated by Minister of Agriculture Majnun Mammadov during a public hearing in the Milli Majlis on the topic “Application of artificial intelligence in agriculture: results and perspectives.”
He noted that through these systems, analytical data is generated on important issues such as plant development, disease and pest risks, soil characteristics, irrigation needs, and yield forecasts: “This data is processed on a single digital platform and delivered to farmers via mobile applications and other communication channels.”
The Minister stated that, consequently, the agricultural management model is gradually transitioning from a traditional experience-based approach to a data-driven and predictive decision-making model.