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Agrorobot for Control of Vineyards


Agrorobot to Forecast Primary Infections Initiation and Development of Crops Diseases

Tech Area / Field

  • MAN-ROB/Robotics/Manufacturing Technology

3 Approved without Funding

Registration date

Leading Institute
Georgian Technical University, Georgia, Tbilisi


  • Princeton University / Princeton Environmental Institute, USA, NJ, Princeton\nDuke University, USA, NH, Durham\nFraunhofer Institut Produktionstechnik und Automatisierung, Germany, Stuttgart

Project summary

Project objective is development of a fully autonomous, compact and inexpensive automated informational-diagnostic system, not requiring centralized meteorological forecasting information, for forecasting and control of phytosanitary situation on vineyards. At a later time, in case of its successful implementation for vine, it is planned to extend the use of the system over other crops. This will result in the significant progress in solution of this global and pressing for all countries problem. The proposed system will provide reliable forecast of origination of vine’s primary pest infestation by fungus diseases (mildew), reliable control over their development and production of optimal dates and tactics for protective actions. All the above-mentioned can significantly increase the effectiveness of struggle against the bio-terrorism aimed to destruction of harvest.

Problem urgency is determined by the fact that the existing methods of forecasting and diagnostics of crop diseases (including vine) do not allow reliable prediction of the timing of primary infection origination (onset of latent stage of disease) which later on causes the reduction (frequently complete failure) of the technical effectiveness of the whole package of protective actions, over-expenditure of expensive and dangerous insecticides, deterioration of general environmental and sanitary situation. As a result of the submitted project’s realization, the informational–diagnostic system of reliable forecasting of the timing of primary infection origination and further control of phytosanitary situation in vineyards will be developed. Creation of the proposed system will lead to the significant progress in solution of the formulated problem.

Scientific novelty consists in: development of algorithms and computer programs for automatic forecasting and diagnostics of vine diseases; development of the mathematical model of vine mildew and local decision support system; development of the original sensors of weather and sanitary conditions connected to computers (sensors of leaf damping duration and sensors of precipitation).

Practical value. In light of its compactness and easiness-to-use, the system can be implemented both in regional vine disease forecasting centers of and in farms.

Putting the proposed system into operation will make it possible to: raise technical and economic effectiveness of protective actions while simultaneously reducing the number of sprayings; reduce usage of expensive and dangerous fungicides; reduce pesticide residue in end product which is the requirement of its competitive capacity on foreign markets; increase the protection rate of crops in case of commitment of subversive and terrorist acts aimed to destruction of harvest.