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Agronix
Module · Field checks and AI

Recognise diseases and pests from photos

A close-up photo of leaves, fruit or insects, from the phone or the drone's zoom: the crop's model suggests the diagnosis with its probability.

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Observations with the suggested diagnosis

The agronomist is not always in the field. AI observations help put a name to what you see: you choose the crop, upload the photo and the model trained on that crop suggests the most likely causes. The suggestion stays a suggestion until a person confirms it; every observation goes on the map with its date.

Observations with the suggested diagnosis

AI observations

Shoot, upload, confirm

Each «What to look for» item explains how to shoot: distance, framing, any distance measurement. The result shows the most likely diagnoses with their percentage and, next to them, the model's measured accuracy. The agronomist confirms, corrects or discards.

  • Crop-specific models
  • Always confirmed by the agronomist
  • Every observation on the map

Crops

Italian crops, one by one

Grapevine, rice, soybean, maize, cereals, tomato, potato, apple, pear, peach, cherry, plum, olive, citrus, fig, walnut, strawberry, vegetables, legumes, sugar beet, sunflower, onion and garlic. Plus insects and pests, rice paddy weeds and the brown marmorated stink bug counted in canopies from drone photos.

  • Over 30 crops
  • Shooting instructions for each model
  • Accuracy stated alongside

How to use it

  1. 1

    Choose what to look for

    Crop and type of problem.

  2. 2

    Take the photo

    Close up and in focus, as the sheet says.

  3. 3

    Read the suggestion

    The most likely diagnoses with their percentage.

  4. 4

    Confirm

    The agronomist confirms or corrects.

Specifications

Models
One per crop, plus insects and pests and rice paddy weeds.
Photos
From the phone or the drone's zoom; some models need the distance.
Processing
On servers in Europe.
Risk from weather
Grapevine, apple, potato and tomato also from weather models.

AI models suggest, they do not decide: diagnosis and choice of treatment are up to the agronomist. Accuracy is measured on archive photos and may be lower in the field.

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