Samara Region Showcases New Domestic Breeding Products and Agricultural AI Technology
2026-07-11 16:44
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en.Wedoany.com Reported - At a field seminar held on July 8, the Samara Region showcased new domestic breeding products and full-field agricultural artificial intelligence technology. The meeting took place at the experimental fields of the Samara Agricultural Research Institute named after Tulaykov (Самарский НИИСХ им. Тулайкова) in the Bezenchuksky District, focusing on introducing modern scientific research results into local crop cultivation. Currently, harvesting has begun in three districts of the region, with an average yield of 30-35 quintals per hectare. Farmers need to thresh over 1.1 million hectares of grain and leguminous crops.

Samara Region showcases new domestic breeding products and full-field agricultural artificial intelligence - Image

Samara Region Governor Vyacheslav Fedorishchev (Вячеслав Федорищев) provides key support for the development of the agricultural complex and agricultural science. Within the framework of the national project "Technological Support for Food Security," researchers are tasked with developing high-yield domestic crop varieties to completely replace imported counterparts.

The institute demonstrated the main achievements of Samara breeders at its experimental fields. The exhibition area included 309 varieties and over 1,200 plots, covering grain, leguminous, forage, and oilseed crops. The winter barley variety "Kvant," which took 30 years to develop, attracted attention at the exhibition. This variety exhibits high cold resistance and stable yields even under unfavorable climatic conditions. Sergei Shevchenko (Сергей Шевченко), a corresponding member of the Russian Academy of Sciences and head of the "Breeding" direction at the Samara Scientific Center of the Russian Academy of Sciences (СамНЦ РАН), explained that cultivating cold resistance is key, as its biological characteristic is the ability to form stable yields after normal overwintering.

In the digital field, the innovative domestic IT solution "Digital Twin of Plants" was presented. Experts from the Samara Scientific Center of the Russian Academy of Sciences spent five years developing this self-regulating artificial intelligence system. The system can simulate crop development processes, predict yields, and analyze crop responses to weather anomalies before field operations begin. Professor Alexei Vasin (Алексей Васин), Doctor of Agricultural Sciences and director of the center, introduced that the system has self-learning capabilities. Based on data from various research institutes, the scientific team loads parameters affecting plants, such as temperature conditions and humidity, for each individual field and completes the modeling.

The exhibition also featured new domestic agricultural machinery products, including advanced navigation systems, allowing farmers to simultaneously learn about plant protection product types. Sergei Akimov (Сергей Акимов), Deputy Minister of Agriculture of the Samara Region, stated that the display included plant protection products, navigation equipment, and new models of self-propelled machinery, providing farmers with the potential for knowledge savings, development momentum, and the ability to achieve higher quality yields.

Experts from the Russian Agricultural Center also provided on-site explanations of seed legislation details and document management processes. Nikolai Somov (Николай Сомов), Chairman of the Samara Regional Duma Committee on Agriculture and Food, emphasized that the regional parliament consistently supports import substitution and the development of domestic breeding. He noted that science and business are currently jointly building a unified regional food security system, and at the legislative level, it is necessary to continuously create favorable conditions for farmers and scientists, making Samara's varieties and advanced technologies a national model.

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