Intelligent sensor system
for spraying only where needed

 

A high precision sensor system for agri sprayers

DAT Ecopatch use Deep Learning Neural Network to find weeds. No spraying in areas with no weed will significantly reduce the amount of herbicides and cut costs. Non-sprayed crops seems to grow better.

 

Our field tests have shown:

 

 

Benefits of precision spraying

Make your field sprayer intelligent

DAT Ecopatch is mounted directly on your existing sprayer equipment. The computer analyses the images in real time and decides whether it is beneficial to spray or not. DAT Ecopatch can be simply adjusted to spray at different thresholds based on the crop selected and conditions in your individual fields.

Fast and consistent camera

Patented sensor designed for harsh environments. Induced airstream prevents dust and spray mist to cover the lens. LED flashes several times stronger than the sun assures high quality images no matter the conditions; both night and day.

Artificial intelligence

Cutting edge deep learning algorithms ensures instant image analysis. The plants are classified into crop and weed in real time. The thresholds are easily adjusted based on crop and weed types.

Monitor and adjust

DAT Ecopatch can easily be adjusted to spray at different thresholds based on the crop selected and conditions in your individual fields. Se the images live on your phone, a tablet or device of your choice.

Better workflow

With reduced spraying each tank lasts longer. You  reduce the herbicide and water usage and cover more area in the same time as you don’t have to fill as often.

See how it works

Why we do what we do

By 2050 the world’s population will reach 9.1 billion people. To feed them, food production must increase by 70 %. DAT is proud to accelerate progress towards SDG 2: End hunger, achieve food security and improved nutrition and promote sustainable agriculture.

«No measure reduces possible harmful environmental effects of herbicides to a lower level than the absence of spraying.»

Haldor Fykse professor emeritus bioforsk