Log In

Tuta absoluta discovered with digital scouting


Israel Grower
Pinpoint right the right time and place to apply the pesticide for maximum results after AI data analytics identification of pests.

The problem

The company had identified the opportunity to regularly monitor crop deficiencies and continuous monitoring of the variability of the plots through mapping of the productions carried out annually.

Particularly in the tomato crop monitoring pests and diseases is critical to prevent yield loss and reach production goals.




The solution


The grower implemented in his crop management the use of drone imaging with analysis of the AgroScout platform and into his phytosanitary IPM management with by-weekly flights. The goal was to monitor and detect crop development in real-time and to more accurately plan processing and manufacturing operations.

Through the use of drone, scouting combines with AI data analysis of AgroScout, it had been identified Tuta Absoluta, tomato leaf miners, in the field. 

**The most common method for controlling leaf miners is a general pesticide application on the infected plants. The trick to best killing leaf miners is the timing - spray too early and the pesticide will not reach the leaf miner larva or too late and will not kill the leaf miner flies.


The AgroScout field data analytics identified exactly the right time and place to apply the pesticide for maximum results.


In addition, the high resolution images (from 2 to 5 cm) allowed to identify fungal diseases or parasite attacks across the season in order to promptly treat the identified and geo-localized area, as well as prevent water stress by identifying the areas most at risk, where the first symptoms occur.

Error: can't render field data in the current format. You can try "Get child value" callback. Available children: Sustainability, Supply chain, Agronomy, Innovation, Business development. Or one of array-related callbacks - "Multiple select field values", "Checkbox field values", "Checked values list" etc

Crop type:





Pest Detection

More case studies for you

Monitoring disease for soybean.

By managing crop growth with AgroScout and by on time irrigating to avoid drought stress, proper fertilization, and reducing pest pressure had helped reduced further the incidence of disease outbreaks.

Applying to job:

Tuta absoluta discovered with digital scouting

Let us get to know you a bit better by sharing your basic info.

Title of job opening

Let us get to know you a bit better by sharing your basic info.

This website uses cookies to ensure you get the best experience on our website.