The name of the base system (platform): | Artificial intelligence (AI, Artificial intelligence, AI) |
Developers: | Rosselkhozbank (RSHB), To YIP RAHN (Institute of problems of management of V.A. Trapeznikov of RAS) |
Date of the premiere of the system: | 2020/03/16 |
Branches: | Agriculture and fishery |
2020: The plan of creation of web service for diagnosis of diseases of plants using a neuronet
On March 16, 2020 Rosselkhozbank reported to TAdviser that it will include service of diagnostics of health of plants in own digital ecosystem. Together with Institute of problems of management of V.A. Trapeznikov of the Russian akadeiya of sciences (YIP RAHN) RSHB will offer landowners a neuronet which will allow to detect phytopathology according to the photo.
The corresponding task Rosselkhozbank included in an agrohackathon and will provide it together with the Center of intellectual digital agriculture (division to YIP RAHN). Teams-participants will have to create a prototype of the web service determining by the photo of the sheet of an apple-tree existence or absence of a disease due to development and training of a deep neuronet at the marked data set. The binary result should become the solution of a task: regulation or pathology.
the Ecosystem which RSHB develops for agricultural business turns on those digital solutions which without additional costs will allow landowners to automate many processes, to save the time and resources. The specific applied objective on creation of a neuronet which would determine existence by a picture or absence of a disease at an apple-tree can be without effort scaled for other species of trees and plants. It is a striking example of how modern digital technologies will help farmers and the agroenterprises with their daily work, |
According to Oleg Ryanov, the division leader Gardens of AFG National agroholding, competent diagnostics of health of plants helps to reveal and solve timely a problem, having minimized negative effects for a harvest.
Development of digital technologies and process automation of diagnostics allows to reduce influence of a human factor and to reduce error probability, promotes reduction of load of personnel and growth of efficiency of work. We watch closely all innovations in this area and are ready to test them on the platforms, emphasized Oleg Ryanov
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The chairman of SPPK "Tula Berry Company" Milena Gubenko and her agronomical command consider that for small and medium-sized agricultural enterprises the subject of diagnostics of health of plants is extremely relevant. At the same time if large agroholdings can cope independently with this task, then small business needs support.
The modern technologies of phytosanitary diagnostics and monitoring which appeared in recent years based on mass use of digital cameras portable pass computers with a wireless exit in Internet, geographic information systems (GIS), the systems of global GPS GLONASS positioning (i) is a break in the system of work of the agricultural industry. If thanks to Rosselkhozbank service becomes public, it will allow to optimize many technology processes in work of farmers. We not only will receive timely information about a status of plants, but also on the basis of the modern equipment and the dialogue Internet systems we will be able to accelerate and facilitate information exchange between farmers, agronomists, experts of advisory services, officials and scientists, noted Milena Gubenko
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Our mission — intellectualization of agriculture. We develop and we implement technologies, decision making support systems for the crop and livestock enterprises on the basis of cross-disciplinary scientific knowledge, knowledge bases and artificial intelligence. RSHB as the reference bank HSC and closely cooperating with farmers financial institute has necessary examination for creation of the specific, adapted for needs farmers of digital products, emphasized in turn the Director of the Center of intellectual digital agriculture to YIP RAHN Sergey Antipin
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