Rice-blast:

Rice blast is the most serious disease of cultivated rice. It is caused by the fungus Magnaporthe grisea (Pyricularia oryzae Cav.), which in favourable conditions can produce yield losses of up to 100 %. Although rice blast is present wherever rice is cultivated, its intensity (incidence and severity of disease) is highly variable and depends on cropping system and climate.

Riceguard Consortium

The 3 year research project is funded by the European Commission and brings together 10 partners from 5 European countries. The aim is to bring an affordable Rice-blast mitigation wireless sensor network system to the European rice-growing industry.

The RICE-GUARD solution

The RICE-GUARD project will develop a wireless sensor network comprised of low-cost measurement nodes that will be capable of transmitting readings of the relevant in-field site-specific environmental variables in real-time to a central server.

The Project:

Riceguard Project
A wireless sensor network comprised of low-cost measurement nodes that will be capable of transmitting readings of the relevant in-field site-specific environmental variables in real-time to a central server in order to predict Rice-Blast appearance.

Background:

Riceguard Project
Rice blast is the most serious disease of cultivated rice. It is caused by the fungus Magnaporthe grisea (Pyricularia oryzae Cav.), which in favourable conditions can produce yield losses of up to 100 %. The fungus affects all the rice-growing regions of the world, has been found in about 85 countries

Datasets:

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Riceguard Project
Example datasets used for data mining: training (Seville, Spain), testing (Kalochori, Greece) with meteorological data, moving averages and output flags for Rice Blast onset and different models

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Riceguard Project
The RICE-GUARD project aims to develop a low-cost, in-field heterogeneous wireless sensor network (WSN) to predict rice blast. WSNs can overcome one of the main limitations of current forecasting methods based on weather data, either solely or combined with additional information such as spore counting.

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