Artificial intelligence will assess and forecast crop yields in Kazakhstan
Author - Mansur Ismagulov
The Tech AI
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Kazakhstan is implementing a pilot project to assess crop yields using artificial intelligence, the UN Food and Agriculture Organization (FAO), and space-based monitoring. The goal is to eliminate discrepancies between official statistics and actual values in the analysis of sown areas and total grain harvests. No instances of official-level data falsification have been identified; however, analysis reveals certain discrepancies in the data.
In Kazakhstan, artificial intelligence and space monitoring are being implemented to assess crop yields and combat falsification in agriculture, where statistics on production volumes, harvest quantities, and product quality are distorted.
No instances of falsification at the official level have been identified; however, analysis reveals discrepancies between official statistics and actual values.
To address this issue, the Ministry is implementing a pilot project to improve the methodology for assessing crop yields based on AI developed by the Food and Agriculture Organization of the United Nations (FAO).
Space monitoring data will be used to assess the yields, sown areas, and total harvest of specific grain crops.
Source: kursiv.media
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