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Crop Health: an honest second opinion

Photograph what is wrong, say what you have noticed, and get back an organised reading of what is visible, what it could be and how sure anyone can be. What it will not do matters just as much.

Every grower knows the feeling: a patch of yellow leaves, a spot that was not there last week, a crop that suddenly looks wrong. Crop Health is Laisha's photo-based crop diagnosis, built for that moment. You send one photo of the whole plant and one close-up of the affected leaf, stem or fruit, add the crop name and whatever you know, and it returns a structured report: what the evidence shows, the possible cause groups, what to do in the next 24 hours, a seven-day watch plan, and a short brief you can forward to an agronomist.

It accepts several photographs of the same problem and reads each in turn, because one leaf rarely tells the whole story. A pattern that looks like disease on a single leaf often turns out to be the shape of the problem in the field: worse at the edges, worse in the low corner, worse on one variety.

The questions a good agronomist asks

Before it looks, Crop Health asks what a good agronomist would ask: the crop, its stage, how widespread the problem is, how worried you are, and the recent weather, irrigation, fertiliser and sprays. These answers change the diagnosis. The same yellowing means different things at tillering and at grain fill, and after a spray rather than after a flood. Scattered single plants point to different causes than sharp patches, and a uniform symptom across a whole field is very often not a disease at all, but nutrition, water or a spray.

The single field that changes more answers than any other is recent conditions, especially any herbicide on your field or the one next door. Drift damage is common and looks like disease to anyone who does not know the spray went on.

Why cause groups, not one name?

Several real causes look alike in a photograph. Narrowing them to one would mean choosing arbitrarily and sounding certain about it. A list of cause groups, with the evidence that would tell them apart, is more useful to act on, and it is what an agronomist standing in the same field would say. A diagnosis nobody can act on is a word, not help.

A worked example

A tomato crop, 45 days old and flowering, shows yellowing on its lower leaves in sharp patches across part of the field, a week after heavy rain, with no recent spray. Crop Health describes what the photographs show as observation, not conclusion. Because the problem is patchy and followed heavy rain, it puts waterlogging and root-zone problems alongside leaf disease rather than behind it. It suggests safe steps for the next day, sets out what to watch over the coming week, and lists the signs that mean you should stop waiting and get expert help. It does not name one disease and send you to buy a chemical.

A photograph alone is never treated as confirming a disease or prescribing a treatment.

What usually goes wrong

One blurred photo and no context. Photographing only the worst plant, when the spread across the field is itself evidence. Leaving out a recent spray. Treating a cause group as a diagnosis and buying a chemical for it. And waiting a week to check, by which time the early, cheap, treatable stage has passed. Open Crop Health the day you first notice something.

Read the report the right way

Start with “Get expert help if”: it is the most important section when the crop matters. Then use the “Message for your agronomist” section, which is written to be forwarded, or download the report as a PDF to take to someone. Crop Health is one of Laisha's paid tools, because reading photographs costs real money per use. A good way to decide whether to trust it is to test it first on a problem you already know the answer to.

Try Crop Health

laisha.ai/tools/crop_doctor

Open it on laisha.ai or in the Laisha app.

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