The main articles are:
- Artificial intelligence
- Digitalization in the agro-industrial complex of Russia
- IT in the agro-industrial complex in the world
- Agriculture in Russia
Directions of AI use in agriculture
For 2024, Spydell Finance identified the following areas of AI use in agriculture:
Agricultural automation
AI systems can control autonomous tractors, drones and other agricultural machines to perform tasks such as sowing, fertilizing, harvesting and tillage.
Monitoring plant and animal health
AI can be used to monitor the health and well-being of plants and animals, detecting diseases and pests in the early stages and helping to determine the optimal conditions for their growth and development.
Forecasting and Automation of Sowing and Livestock Planning
AI can be used to automate tasks such as crop planning, crop monitoring and irrigation management. This can increase yields and reduce production costs. The same is true for animal husbandry.
AI can analyze data on weather, soil and plants to predict yields and help make decisions about planting, fertilizing and watering, which increases overall productivity and reduces crop losses.
2024
The Russian company presented an AI platform that quadruples the selection of new plant varieties
In March 2024, Plastilin announced a platform that, according to the developers, reduces the cycle of plant breeding from 8-12 to 2-4 years. This solution, using artificial intelligence algorithms, helps to select exactly those samples that can transmit the most valuable genes to the next generation - resistance to pathogens, adaptation to drought and high yield. Read more here.
Miratorg has developed and implemented an AI system for evaluating cattle for its effective cultivation
NIC "Kurchatov Institute" and specialists of the companies "Innopraktika" and "Miratorg" have developed and implemented an AI-system for evaluating cattle for its effective cultivation.. This was announced at the end of February 2024 by the head of the center Maxim Patrushev. Read more here.
2023
Alliance in the field of AI launched a system for evaluating machine learning models in the agro-industrial complex
On November 24, 2023, the Alliance in Artificial Intelligence introduced a benchmarking metric system for industry machine learning models in the agricultural sector. It announced the launch of an online platform that will allow businesses to evaluate their AI solutions. The resource was created within the framework of the Industry Club in the field of AI (agro-industrial complex), which operates on the basis of the Alliance. Read more here.
The first agricultural scout robot in Russia has been created to monitor the condition of grain and potato crops
On October 24, 2023, St. Petersburg University (St. Petersburg State University) announced the creation of the first agricultural scout robot in Russia to monitor the condition of grain and potato crops. According to scientists, their development is universal. Read more here.
Russian agro-industrial enterprises do not want to introduce AI to receive subsidies
On October 16, 2023, the National Union of Milk Producers (Soyuzmoloko) sent a letter to the Ministry of Agriculture with a request not to oblige enterprises of the agro-industrial complex (APK) to introduce artificial intelligence technologies to receive subsidies. The initiative in question also raises concerns among engineering companies and participants in the transport industry.
The idea of obliging recipients of a number of subsidies to introduce AI technologies is the Ministry of Economy. The corresponding draft government decree was published on October 10, 2023: a measure that comes into force from 2024 should affect companies with revenues of 800 million rubles a year. It is assumed that the use of AI will become one of the conditions for providing state support to companies.
 | If we give subsidies to enterprises, it is necessary to watch how they implement solutions in the field of artificial intelligence, "said Minister of Economic Development Maxim Reshetnikov. |  |
According to the Kommersant newspaper, the list of subsidies for which the introduction of AI is necessary includes preferential loans, preferential leasing of equipment and equipment, compensation for part of the costs of producing agricultural machinery, compensation for losses in discounts on leasing public transport, etc. However, market participants say that the deployment of AI systems will create an additional financial burden on companies that are already in a difficult position due to the emerging geopolitical situation. In particular, Soyuzmoloko notes, the introduction of AI requires investment, and agro-industrial enterprises are still adapting to the "unfriendly actions of foreign counterparties," replacing suppliers of equipment, equipment, materials and IT solutions.
The head of the National Meat Association of Russia, Sergei Yushin, emphasizes that for the introduction of AI in the agro-industrial complex, there must be economic feasibility, but many companies do not have such a need. At the same time, the Rosspetsmash association, which unites machine builders, says that there is no clarity about how the annual mandatory introduction of AI technologies will correspond to the capabilities of companies and the tasks they solve.[1]
Picking oranges, killing weeds and working on the principle of the brain of ants. Which robots are used in world agriculture
Artificial intelligence technologies are increasingly used in the field of agriculture. The development of a number of new systems using machine learning algorithms became known at the end of September 2023. Such complexes help to perform routine operations, increase the efficiency of activities and reduce costs.
In particular, Ecorobotix's GPS-navigated table-on-wheels solution navigates the fields and destroys weeds with high accuracy. At the same time, solar panels provide power. The declared effectiveness reaches 95%. At the same time, Energid and Universal Robots, equipped with cameras and special flexible manipulators, help to collect citrus fruits such as oranges and grapefruits.
The River LettuceBot system scans crops and effectively thins overgrown areas, distinguishing between weeds and beneficial plants. The complex provides optimal growth with minimal use of pesticides. The PrecisionHawk platform, in turn, helps perform all kinds of robotic agricultural operations using remote sensing and drone-based analytics.
Specialists from the University of Edinburgh in Scotland and the University of Sheffield in Britain are solving the problem of visual navigation in dense vegetation by developing algorithms that mimic the behavior of ants. They created a special neural network like the brains of insects, which helps robots navigate space, guiding them in difficult field conditions. One of the problems in such environments is the recognition of previously visited places or routes traveled. New algorithms make it possible to bypass existing restrictions. The researchers tested their neural model on complex routes in uneven, muddy, dense fields and achieved positive results.[2]
In Russia, created a defining sick and damaged fruit robot
Specialists from NITU MISIS, Tambov State Technical University (TSTU), China University of Mining and Technology and the Higher School of Economics (HSE) have developed a botANNIC robot that will help increase yields and reduce fruit losses due to diseases and pests. The robotic gardener independently moves around the garden and monitors fruits on trees, fixing sick and damaged among them. Read more here.
Cognitive Pilot unveils AI to assess reliability of agro robots
Russian the developer of autonomous control systems, agricultural transport the company (Cognitive Pilot "subsidiary" and) Sberbank Cognitive Technologies announced on April 12, 2023 to development technologies about the R2D class (to Robot Driver - interaction robot with the driver) for agro-robots. Its analogues for April 2023 are not known. More. here
2022
The Ministry of Agriculture of the Russian Federation will spend 400 million rubles. for the introduction of AI in monitoring the state of agricultural crops
The Ministry of Agriculture (Ministry of Agriculture) is ready to pay 400 million rubles. for the introduction of artificial intelligence (AI) technology in monitoring the state of crops. This became known on August 15, 2022. Read more here.
"Terra Tech" Launches Pixel.Ai Geoanalytical Platform to Support Agriculture
On July 11, 2022, the Russian Space Systems company announced that TERRA TECH launched the Pixel.AI geoanalytical platform at the junction of space technologies for Earth remote sensing (remote sensing) and artificial intelligence (artificial intelligence - AI). The first product in the Pixel.AI geoservice line is aimed at supporting the agricultural sector. Read more here.
Rosstandart approved GOST for AI systems in agriculture
The Federal Agency for Technical Regulation and Metrology () Rosstandart approved the national standard of the Russian Federation GOST "Artificial Intelligence Systems () AI in Agriculture. Requirements to Ensuring Operational Safety Characteristics of Automated agricultural Motion Control Systems. " The document, designed to secure the use of systems with AI in, AGRARIAN AND INDUSTRIAL COMPLEX as well as accelerate the introduction of domestic developments in the industry, was jointly developed (Cognitive Pilot joint venture and) and. "Sberbank" Cognitive Technologies Higher School of Economics (HSE)
According to TASS, citing a statement by Cognitive Pilot, the standard introduces the very concepts of autonomous control systems for agro-industrial complex technology into the law, regulates the operational safety characteristics of smart systems in agriculture and the criteria for confirming it. It is noted that agricultural facilities that will install standardized systems based on AI can be sure that the equipment will not get out of control, that the installation of a smart system will not have a negative impact on the operation of other elements of the equipment.
In addition, the standard will significantly facilitate the procedure for introducing a smart system in domestic agricultural farms and remove regulatory and technical barriers so that developers do not have to spend time proving its safety if it meets state standards.
| | With the active penetration of artificial intelligence technologies into our lives, the importance of such documents will be difficult to overestimate. They form the rules and regulations of the new AI market in agro, form the market itself, "said Sergei Garbuk, head of the HSE Scientific Projects Directorate.[3] | |
2021
Ricult AI helps farmers increase harvest by 50%
On November 28, 2021, the Thai startup Ricult stated that it helped farmers significantly increase yields thanks to a special application. Efficiency can exceed 50%. More. here
Digital Agro Launches Agro Quality Control Solution
On August 9, 2021, the company Digital Agro announced that it had launched an agro-scouting solution that focused on technology compliance. agricultural productions By combining offline monitoring of acreage and digital solutions, users gain to to the analyst data optimize crop yields and reduce production costs. More. here
"Agrocompany Rus" has introduced an online farm based on artificial intelligence
Sberbank on April 19, 2021 announced the implementation of the first transaction for the sale of a digital product - an online farm for dairy farms. The development of Mustang Technologies Feeding, a member of the Sberbank ecosystem, was acquired by a partner of the bank - Agrocompany Rus JSC. The introduction of the service will allow the company to reduce costs. Read more here.
2020
IBS invests in project to create and operate digital agricultural farms
On November 30, 2020, the IBS Group of Companies announced to TAdviser that it had become an investor in City Farmer to jointly create and operate digital farms. Read more here. City Farmer implements a promising format for remote management of agricultural production using artificial intelligence technologies, which allows improving efficiency, improving the quality of agricultural products and solving the problem of logistics in regions with difficult transport accessibility and difficult climatic conditions.
TAdviser podcast on AI solutions in agriculture
Listen to TAdviser Podcast on AI Solutions in Agriculture
Rostelecom has developed a methodology for comparing the contours of arable land using machine vision and neural networks
On October 9, 2020, Rostelecom announced the development of a methodology for automated decryption and comparison of arable land contours. The presented technique has been practically tested in pilot regions and has shown efficiency and accuracy in automated contouring of arable land. Read more here.
Digital service in the ecosystem of Rosselkhozbank will increase the safety of farm products
Rosselkhozbank together with a resident Skolkovo - the company - Connectome.ai introduced into the ecosystem of digital services "" Own Farming a development that will help farmers monitor employees' compliance with sanitary standards in production. This became known on September 18, 2020. More. here
Artificial intelligence from Rosselkhozbank and Connectome.ai will help farmers track the birth of calves
On September 11, 2020, it became known that Rosselkhozbank , together with a resident Skolkovo - a company - Connectome.ai it was putting on the market a system with that artificial intelligence would help farmers control the birth of calves. More. here
At a poultry farm in Tatarstan, all processes are controlled by artificial intelligence
In mid-April 2020, it became known that at the Yaratelle poultry farm in Tatarstan, where 2.5 million chickens carry more than 2.3 million eggs every day, all egg collection and movement processes are controlled by artificial intelligence based on the Amaks software solution. Weighing, rejection and packing of eggs are also carried out automatically by the sorting machine.
Rosselkhozbank will help farmers diagnose plant diseases using a neural network
On March 16, 2020, Rosselkhozbank informed TAdviser that it would include a plant health diagnostic service in its own digital ecosystem. Together with the Institute of Management Problems named after V.A. Trapeznikov of the Russian Academy of Sciences (IPU RAS) RSHB will offer agrarians a neural network that will allow detecting phytopathology from photography. Read more here.
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