Agent Crop: AI For Agriculture
Agent AI Technologies · Image · AI Detection
Agent Crop is a free AI tool that diagnoses crop diseases and identifies plants from a photo, then suggests a treatment. It runs in a browser and on Android.
About Agent Crop: AI For Agriculture
What Is Agent Crop
Agent Crop answers two questions a grower asks while standing in a field: what is wrong with this plant, and what plant is this. You upload a photo of a leaf, a stem, or a whole plant. The service returns a named disease or species, a confidence read, and a short treatment note. It's built by Agent AI Technologies, an Indian team that's part of the Microsoft for Startups Founders Hub.
The problem it targets is timing. Most crop loss starts as a small patch that gets ignored until it covers a row, and AI for agriculture tools rarely reach the farmer standing over that patch. A farmer who spots the first lesions and knows what they are can spray the right product early or skip the spray entirely. Agent Crop is meant to shorten that gap, not replace an agronomist.
There are limits worth knowing before you trust it with a season. Every diagnosis comes from a single image, so the model sees a leaf and nothing about your soil, weather, or spray history. Photos also need to be reasonably sharp; a blurry shot of a whole field tells it almost nothing. The web uploader takes PNG and JPG files up to 50 MB in total, and images are cleared after the check rather than stored.
Getting Started
- Open agentcrop.com and choose Disease Detection or Plant Identification from the top of the page.
- Upload one or more photos of the affected leaf or plant in PNG or JPG format, keeping the total under 50 MB.
- Read the result card, which names the likely disease or species and lists care or treatment notes.
- Cross check the diagnosis against a local extension advisory before buying or applying any chemical.
- Install the Android app if you want detections saved so you can follow crop health over a season.
Product Information
A quick look at Agent Crop: AI For Agriculture's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Smallholder farmers
- Home gardeners
- Agri input dealers and field staff
Tasks
- Naming a disease from leaf symptoms
- Identifying an unknown plant
- Keeping a record of crop health
Scenarios
- Walking a field in the morning
- Checking stock at a nursery
- Triaging a customer complaint
Key features
Disease Detection From One Photo
The core service is a plant disease scanner that works from a single image. Upload a close shot of a leaf with visible symptoms, and the model returns the most likely disease with a treatment note attached. It's the fastest path from "something is wrong here" to a named problem, and it needs no account on the web version.
Plant Identification With Growing Details
The second mode works as an AI plant identifier. Point it at an unknown seedling, a weed, or a tree in a hedgerow and it returns a species name plus care detail such as light, water, and typical growing conditions. This is the part home gardeners tend to use most, since it answers the question that comes before any diagnosis.
Treatment Advice Tied to the Diagnosis
Every disease result carries suggested treatment steps rather than a bare label. The advice covers the usual options, from cultural fixes like removing infected leaves to chemical treatment, and it's written for someone who wants to act today. Treat it as a starting point and confirm dosage with a local label.
Detection History in the Android App
The Android build keeps a log of past scans. A farmer can reopen an earlier detection for the same field, compare how the spots have progressed, and show the record to an agronomist later. On the web, images are discarded after each check, so the app is the option for anyone doing crop health monitoring across a season.
Eleven Language Interface
The web tool ships in English plus Hindi, Gujarati, Bengali, Marathi, Telugu, Tamil, Urdu, Kannada, Odia, Malayalam, and Punjabi, and the Android listing puts the app at 17 languages. That coverage matters in India, where a farmer may read a regional script far more comfortably than English.
Disease Detection and Plant ID APIs
For agribusiness teams, Agent Crop runs a separate agricultural AI API platform at platform.agentcrop.com. It exposes a disease detection endpoint and a plant identification endpoint, both of which can return a customized JSON schema, so a developer can ask for taxonomy, harvest cycles, or regional origin in the same response. A free trial is available without a card, and production pricing comes through a sales conversation.
Pros and cons
Pros
- Free and unlimited for the web and Android tools, with no account needed on the web uploader. The crop disease app costs nothing to install or run.
- Diagnosis and treatment advice arrive together, which shortens the gap between spotting a problem and responding to it.
- Regional language support goes well past the usual English and Spanish pair, with eleven languages on the web.
- The API gives agribusinesses a way to add crop disease detection to their own product, including a custom response format.
Cons
- No iOS app is published, so iPhone users are limited to the browser version and lose the saved history.
- A result depends entirely on the photo, and the model can't weigh soil tests, weather, or past sprays, so it can misread a nutrient deficiency as a disease.
- The web uploader only accepts PNG and JPG, which means converting HEIC or RAW files from a better camera before checking a plant.
- API pricing isn't published, and a team that needs volume has to go through sales before it can budget.
Frequently asked questions
Yes. The web tool and the Android app are free with no stated cap on how many checks you run. The API platform is the paid side, and it starts with a free trial that doesn't ask for a card.
Related content
Explore related tools, skills, and articles for Agent Crop: AI For Agriculture.
Agent Crop: AI For Agriculture Alternatives
Google EmbeddingGemma 2
Google DeepMind · Writing · Image · CodingGoogle EmbeddingGemma 2 is a 740M-parameter open model that turns text, code, images, audio, and video frames into vectors in one 768-dimension space, running on phones and laptops.
Tractionwave
TractionWave · Image · MarketingTractionWave is an AI attention heatmap tool for static ads. Upload a PNG or JPG and it returns predicted attention, ranked hotspots, and fixes before you spend budget.
Imejis.io
Imejis.io · Image · MarketingImejis.io is an AI design studio for agents and marketing teams. Describe an image in plain words, and it writes the copy, builds the layout, reflows it to every size, then exports a finished file.