Latent Periods of Plant Diseases
Recognition System for Diagnosing Initiation of Plant Diseases’ Latent Periods and Their Operative Treatment
Tech Area / Field
- AGR-PPR/Plant Protection/Agriculture
3 Approved without Funding
Georgian State Agrarian University, Georgia, Tbilisi
- Georgian Technical University, Georgia, Tbilisi
- Fraunhofer Institut Produktionstechnik und Automatisierung, Germany, Stuttgart\nUniversity of Nebraska / Department of Mathematics, USA, NE, Lincoln
Project summaryProject objectiveis the creation of a recognition system to diagnose initiation of plant diseases’ latent periods and their timely treatment. The system should be fully autonomous from centralized meteorological forecasting information, compact and inexpensive. It should provide reliable definition of the moment of initiation of wide range of agricultural plant diseases’ latent periods and therefore timely control of phytosanitary situation on plants. The proposed system will also provide reliable control over their development and production of optimal dates and tactics for protective actions. Beside all the above-mentioned can significantly increase the effectiveness of struggle against the bio-terrorism aimed to destruction of harvest.
Problem urgencyis determined by the fact that the existing methods of forecasting and diagnostics of plant diseases 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 noveltyconsists in: development of algorithms and computer programs for automatic forecasting and diagnostics of plant diseases; development of corresponding mathematical models and local decision support system; development of the original sensors of weather and sanitary conditions connected to computers (original sensors of leaf damping duration and precipitations).
Practical value. In light of its compactness and easiness-to-use, the system can be implemented both in regional 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 plants in case of commitment of subversive and terrorist acts aimed to destruction of harvest.
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