Probelte and North Carolina State University have partnered on a digitization project that involves tracing climatic and phenological indicators related to botrytis in order to create personalized biological treatments adapted to each specific case. The study will develop predictive models for Botrytis infection with which to further design cost-effective sensor arrays that can be easily deployed in the field. This will allow the production of these models to be supported through data collection on site,
The research will be carried out with strawberries and will make it possible to demonstrate the success and usefulness of integrating digital surveillance with the use of products of biotechnological origin personalized to the data obtained by the sensor matrix.
Botrytis damages millions of crops worldwide. As with other fungi, botrytis cinerea It is closely related to the environment and weather conditions. Preventing the disease it causes is complicated because it depends on an infinity of factors.
For these reasons, it is important to know what causes Botrytis to appear, or the conditions that favor it, although it is extremely complex to predict. These models will allow protective technologies and products to be applied in a preventive and more efficient manner, saving crop losses and unnecessary phytosanitary expenses.
The collection and processing of data, as well as the conversion of these into useful information for the farmer or field technician, requires sophisticated digital tools. Through this partnership, Probelte and North Carolina State University will show the significant strategic scope of digitization for the agrobiotechnology sector. The development of this type of predictive model is a preliminary and fundamental step to achieve the optimization of crop treatments and maximize the rationalization of resources.
Probelte thus establishes the values it has been pursuing in recent years through this important collaboration with NC State and makes the application of digitization a reality to achieve solutions that are personalized and unique in the field Let’s help For the trials, the researchers will work with a biocontrol called Botrybell, based on a strain of the live microorganism, bacillus amyloliquefaciens AH2, isolated and patented by Probelte. It is a foliar bio-fungicide designed to prevent pests caused by pathogenic fungi, such as strawberry botrytis, in crops. The product shall be applied preventively at different times and conditions. The results will be interpreted to develop the corresponding predictive model. With the data, new strategies will be derived that help amplify the effects of biological products, such as Botrybel, to achieve greater efficiency and stability over time.