Use Case: Plant Disease Diagnosis and Treatment Recommendation
To increase yield, farmers spend thousands, if not millions, optimizing seed investments through chemical treatments, such as pesticides, fertilizers, and fungicides.
Yet, farmers often struggle to select effective products when plant disease invades. When they select the wrong treatment or settle on a one-size-fits-all solution, they not only fail to combat the specific disease plaguing their crops, but they often inadvertently cause undesirable side effects, such as pollution and bee-population reduction.
Through AI-powered image analysis and classification, I evaluated thousands of crop images along with more than 3,000 treatment products and accurately prescribed solutions, based solely upon plant-image characteristics, such as color, shape, and decay pattern.