Determine sugar beet diseases with a smartphone and predict disease development! BeetControl replace the leaf plucking method. BeetControl-Enterprise makes this possible!
What is BeetControl?
By using artificial intelligence and pictures from 100 leaves that are taken at a determine time point, sugar beet diseases especially Cercospora among others, will be identified and a forecast for disease development of this specific sugar beet diseases for the next 14 days will be available. BeetControl replace the leaf plucking method considering the respective threshold of the sugar beet disease for your specific country at a current valid time point. Alert messages will be sent.
What you have to do?
100 leaves should be taken from the field. Pictures from these leaves should be taken frontally and a whole leaf should fit a picture.
What happens then?
These leaves are then evaluated individually, and infestation of the sugar beet disease will be determined based on how many leaves are infected with Cercospora – provided information will be given in percent. In addition to infection frequency, severity of the sugar beet diesease is also estimated. Again, each individual leaf should be evaluated with score classes ranging from 1 to 9, then the mean over all 100 leaves will be given as a result.
This result is taken as a guideline for the prediction of the next 14 days and estimation for disease development the upcoming days. This is possible for BeetControl, because it takes into consideration weather date for the specific site, information on the resistance level for sugarbeet disease of a given variety, and a classification on how high the risk for this disease is in this area.
Result
The result is an assessment of the incidence and severity of infection and a prediction of disease development in the selected time point.
Based on a threshold model, which is applied for the respective country, the infection frequency (incidence) is determined in a specific time point. The farmer receives an alert once the threshold has exceeded or not. The threshold model is country-specific and tackles different time points.
Alert Messages
Alert messages will be sent, if a farmer in the vicinity has exceeded the threshold and/or if the forecast of a farmer in the vicinity indicates that the threshold was exceed.
Terms of Use see https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
What is BeetControl?
By using artificial intelligence and pictures from 100 leaves that are taken at a determine time point, sugar beet diseases especially Cercospora among others, will be identified and a forecast for disease development of this specific sugar beet diseases for the next 14 days will be available. BeetControl replace the leaf plucking method considering the respective threshold of the sugar beet disease for your specific country at a current valid time point. Alert messages will be sent.
What you have to do?
100 leaves should be taken from the field. Pictures from these leaves should be taken frontally and a whole leaf should fit a picture.
What happens then?
These leaves are then evaluated individually, and infestation of the sugar beet disease will be determined based on how many leaves are infected with Cercospora – provided information will be given in percent. In addition to infection frequency, severity of the sugar beet diesease is also estimated. Again, each individual leaf should be evaluated with score classes ranging from 1 to 9, then the mean over all 100 leaves will be given as a result.
This result is taken as a guideline for the prediction of the next 14 days and estimation for disease development the upcoming days. This is possible for BeetControl, because it takes into consideration weather date for the specific site, information on the resistance level for sugarbeet disease of a given variety, and a classification on how high the risk for this disease is in this area.
Result
The result is an assessment of the incidence and severity of infection and a prediction of disease development in the selected time point.
Based on a threshold model, which is applied for the respective country, the infection frequency (incidence) is determined in a specific time point. The farmer receives an alert once the threshold has exceeded or not. The threshold model is country-specific and tackles different time points.
Alert Messages
Alert messages will be sent, if a farmer in the vicinity has exceeded the threshold and/or if the forecast of a farmer in the vicinity indicates that the threshold was exceed.
Terms of Use see https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
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