The development is a project by scientists from the Pacific National University (PNU) in Khabarovsk, implemented under the federal program "Priority 2030." To compare the information obtained using the neural network with real forecasts, the scientists used reports from the Russian Academy of Sciences on agricultural crops.
As representatives of the project told IA "TASS," the neural network, capable of calculating crop yields up to 85%, can already predict the yield of potatoes, barley, wheat, oats, buckwheat, and soybeans. This will allow agronomists and farmers in the Khabarovsk Territory to allocate resources more efficiently.
The neural network will be offered for use to large regional enterprises and will be actively refined. The scientists plan to adapt it to other crops in the Khabarovsk Territory, increase the accuracy of forecasts, and train the AI to determine the impact of various fertilizers on yields.
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