xarvio™ SCOUTING
xarvio™ SCOUTING
Technical Specification
Technology Readiness Level
TRL 9
Farm Scale Types
Big scale, Small scale
Production Systems
Greenhouse, Open field
Technique Types
Decision support techniques, Diagnostics and detection techniques, Monitoring techniques, Crop monitoring​ (Monitoring techniques), Insect monitoring​ (Monitoring techniques)
Application Ranges
Bacteria, Fungi, Insects, Mites, Viruses
Company Name
BASF Digital Farming GmbH Albrecht-Thaer-Str. 34 48147 Münster, Germany
Country Origin
Germany
Contact Person
Managing Directors: Andree-Georg Girg Dr. Marc Muff Dr. Thomas Schilling Phone: +49 30 22957857 Email: germany@xarvio.info; support@xarvio.info
Special Requirement
Need for a special agricultural landscape
Need Special Training

Description

xarvio™ SCOUTING is developed for agronomists and farmers to automatically identify problems in their crops. Users can just take a picture and instantly receive a result. SCOUTING supports more than 50 crops globally and helps growers to document in-field stress easily.  xarvio SCOUTING supports six different activities from seeding to harvest: Weed Identification, Disease Recognition, Nitrogen Status, Yellow Trap Analysis, Leaf Damage Emergence Analysis.

For More Information
Crops Used
  • Bean
  • Bell pepper
  • Cabbage
  • Cauliflower
  • Cereals
  • Cucumber
  • Aubergine
  • Leek
  • Maize
  • Melon
  • Oilseed rape (canola)
  • Onion
  • Potato
  • Pumpkin
  • Range of crops
  • Soybean
  • Strawberry
  • Tomato
  • Watermelon
  • Zucchini
  • Sugar beet
Crops Possible
  • Oilseed rape (canola)
Countries Used
  • Germany
  • India
  • Many
Countries Not Suitable
  • No Countries
Species
  • Range of species
Tech Requirement Comment

The current disease recognition algorithm covers more than 400 diseases, pest and nutrient deficiencies on more than 50 crops globally (https://scouting.xarvio.com/static-pages/assets/pdf/DiseaseAccuracy_en.pdf and see pdf below). Diseases can likely spread due to regional climatic conditions. SCOUTING results are shared within the community via the radar function and growers will receive alerts if the diseases are observed nearby.  

Instead of manually evaluating yellow trap captures in oilseed rape fields. SCOUTING automatically counts and classifies insects in the trap.  The algorithm can identify and count harmful insects. It differentiates between weevils, pollen beetle and the cabbage stem flea beetle.  Insects may migrate from one field to another. An active community shares scouting results via the app to provide growers with an overview of the insect pressure in their area.  

Landscape Comment

Any landscape.

Cost Detail

Currently free

Example Cases/Additional information

Tomato, grape

Working speed

Virtually instant response

Acreage covered

Any area

Support

There is a user guide https://community.xarvio.com/s/ and you can contact the company support@xarvio.info

Mode of operation

Mobile application

Accuracy

Depends on species

Keywords
  • Insect monitoring
  • Pest and disease identification
  • Crop monitoring
  • Weed identification
  • Decision support pests
Media Files
Youtube Videos
Attached Files
Bericht über die Krankheitsgenauigkeit.pdf
Bericht über die Krankheitsgenauigkeit.pdf