How ARCORA Analyses a Crop Photo — A Look Inside the Diagnosis Engine
When a farmer uploads a photo to ARCORA, what actually happens? Here's an honest look at how the platform moves from a smartphone image to a treatment protocol in under two minutes.
The question we hear most often from farmers, FPO managers, and agronomists trying ARCORA for the first time is: how does it actually work? What is the system doing with a photograph that allows it to produce a differential diagnosis, confidence score, and treatment protocol?
It is a fair question. And it deserves an honest answer — not marketing language, but a real explanation of the process.
Step 1: Visual Analysis
The first thing ARCORA does with an uploaded image is analyse the visual characteristics of what it sees. This is not a simple colour detection. The system evaluates lesion morphology — the shape, edge definition, texture, and distribution pattern of abnormal areas on the plant tissue.
It looks at where on the plant the symptom appears. A disease that starts on older leaves and works upward tells a different story than one that begins at the growing tip. It evaluates whether affected areas have a defined margin or a diffuse border, whether lesions are coalescing or isolated, and whether there is any associated pattern like a chlorotic halo or central collapse.
All of this analysis draws on a knowledge base built from over 2,000 documented disease and pest patterns across 183 crop varieties — years of structured plant pathology research translated into a diagnostic framework.
Step 2: Context Integration
Visual analysis alone is insufficient for confident diagnosis. A lesion pattern that suggests fungal blight in one context might indicate a bacterial infection or even abiotic stress (heat, chemical burn) in another.
ARCORA integrates the contextual information provided during the scan: the crop type, growth stage, geographic location, current season, soil type, recent farming activities, and the duration and spread of symptoms. This context dramatically narrows the field of possible diagnoses and improves accuracy.
A cotton crop in Vidarbha showing leaf curl in October tells a very different story than the same visual symptom in a cotton crop in Gujarat in August. Context is not optional — it is structurally part of the diagnosis.
Step 3: Differential Diagnosis
This is the part most diagnostic tools skip entirely, and it is the most important step.
ARCORA does not simply match the image to the closest pattern and report a result. It runs a differential — evaluating every plausible condition that could produce the observed combination of visual symptoms and context, then systematically ruling out conditions that don't fit.
The output includes the primary diagnosis alongside the conditions that were considered and ruled out, and the specific reasons why. This transparency allows agronomists and experienced farmers to interrogate the result rather than simply accept it.
Step 4: Severity and Urgency Scoring
Not all positive diagnoses require the same response. ARCORA scores each diagnosis on two axes: severity (how advanced is the current infection) and urgency (how fast is this likely to progress without intervention).
A Mild severity, Low urgency finding might call for monitoring and cultural management. A Moderate severity, High urgency finding calls for immediate chemical intervention. These distinctions shape the treatment protocol and the recommended response timeline.
Step 5: The Report
The output is a structured plant health report — not a one-line answer. It includes the diagnosis with confidence score, severity classification, urgency assessment, a treatment protocol with prioritised steps and timing guidance, an economic impact estimate (projected yield loss if untreated), and follow-up monitoring recommendations.
The report is generated in the farmer's preferred language. It is downloadable as a PDF for record-keeping, agronomist review, or documentation for credit and insurance purposes.
What ARCORA Is Not
ARCORA is not a replacement for a qualified agronomist in complex or ambiguous cases. It is a first-response tool — designed to give farmers and field officers a credible, structured diagnosis at the moment symptoms appear, so that the right intervention can begin immediately and expert follow-up is better informed.
In most cases, the diagnosis is clear and the recommended protocol is actionable without further consultation. In cases where the system's confidence is lower, the report explicitly flags this and recommends professional verification.