Currently the algorithm is able to identify 23 crop diseases

Understanding the accuracy of the algorithm

Wheat

Diseases identified (accuracy)

Brown rust (90%)
Yellow rust (71%)
Pyrenophora tritici-repentis (66%)
Septoria nodorum (68%)
Cereal leaf (89%)
Powdery mildew (84%)
Microdochium nivale (99%)
Eyespot (78%)
Fusarium (90%)

Corn

Diseases identified (accuracy)

Turticum (53%)
Corn rust (92%)
Leaf spot (45%)
Southern brown rust (52%)
Fusarium (100%)
Anthracnose (37.07%)
Karbatiella (50%)

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