Grow your business with machine-learning plant identification with Plant.id API. It leverages ten years of our domain experience, reaching an outstanding level of proficiency and reliability. We regularly retrain our ML models with better data and state-of-the-art architecture. Over 35,000 plants identified with 93% accuracy.
Send images for identification.
Create Identification - Características del Endpoint
Objeto | Descripción |
---|---|
details |
Opcional comma separetad list of requested plant details (optional) : common_names,url,description,taxonomy,rank,gbif_id,inaturalist_id,image,synonyms,edible_parts,watering,propagation_methods |
language |
Opcional two-letter ISO 639-1 language code (optional, default en) - language of localized plant details can be multiple (up to 3), separated by comma - i.e. (en,de,sv) |
async |
Opcional boolean (optional) - if true: request does not wait for identification to complete and response does not contain result section; result can be later retrieved by next endpoint |
Cuerpo de la Solicitud |
[Requerido] Json |
{"access_token": "UQuKezg4NlcdAha", "model_version": "plant_id:5.0.0", "custom_id": null, "input": {"latitude": 49.207, "longitude": 16.608, "similar_images": true, "images": ["https://plant.id/media/imgs/21bbe25e468447cfb389f6c553273bd1.jpg"], "datetime": "2025-04-17T12:02:16.866229+00:00"}, "result": {"classification": {"suggestions": [{"id": "8021a9c6893677b7", "name": "Quercus pubescens", "probability": 0.3964, "similar_images": [{"id": "420c084a5e0c26e8eda073589e05956f38601899", "url": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/5/420/c084a5e0c26e8eda073589e05956f38601899.jpeg", "license_name": "CC BY 4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "citation": "Edmondo Minisci", "similarity": 0.776, "url_small": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/5/420/c084a5e0c26e8eda073589e05956f38601899.small.jpeg"}, {"id": "8b99a6e1d635e1b28b4893df82f5daa1898cf851", "url": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/5/8b9/9a6e1d635e1b28b4893df82f5daa1898cf851.jpeg", "license_name": "CC BY 4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "citation": "dawk stah", "similarity": 0.772, "url_small": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/5/8b9/9a6e1d635e1b28b4893df82f5daa1898cf851.small.jpeg"}], "details": {"language": "en", "entity_id": "8021a9c6893677b7"}}, {"id": "f008156f1715de6b", "name": "Quercus petraea", "probability": 0.2543, "similar_images": [{"id": "69f3836c4fdcfb5a9d3a945289219657538d91e3", "url": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/5/69f/3836c4fdcfb5a9d3a945289219657538d91e3.jpeg", "license_name": "CC0", "license_url": "https://creativecommons.org/publicdomain/zero/1.0/", "citation": "Tomas Pocius", "similarity": 0.761, "url_small": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/5/69f/3836c4fdcfb5a9d3a945289219657538d91e3.small.jpeg"}, {"id": "4be73bd6601e637fd097053ec1c8f593f8a157f6", "url": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/5/4be/73bd6601e637fd097053ec1c8f593f8a157f6.jpeg", "license_name": "CC BY 4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "citation": "mdiest", "similarity": 0.729, "url_small": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/5/4be/73bd6601e637fd097053ec1c8f593f8a157f6.small.jpeg"}], "details": {"language": "en", "entity_id": "f008156f1715de6b"}}, {"id": "16610b5a638f3227", "name": "Quercus lobata", "probability": 0.1317, "similar_images": [{"id": "5eed4ca3faed6f1639f3bb4cba6fea58fdf63bf9", "url": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/5/5ee/d4ca3faed6f1639f3bb4cba6fea58fdf63bf9.jpeg", "license_name": "CC0", "license_url": "https://creativecommons.org/publicdomain/zero/1.0/", "citation": "Yann Kemper", "similarity": 0.719, "url_small": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/5/5ee/d4ca3faed6f1639f3bb4cba6fea58fdf63bf9.small.jpeg"}, {"id": "16e67b6970c156b12a6128bb002018af96873e2f", "url": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/5/16e/67b6970c156b12a6128bb002018af96873e2f.jpg", "license_name": "CC BY 4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "citation": "Henrik Kibak", "similarity": 0.706, "url_small": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/5/16e/67b6970c156b12a6128bb002018af96873e2f.small.jpg"}], "details": {"language": "en", "entity_id": "16610b5a638f3227"}}, {"id": "a6b75b7696d0c2f4", "name": "Quercus cerris", "probability": 0.0909, "similar_images": [{"id": "7eb15bf0bf946426137dfc5cf4850a722266a04a", "url": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/5/7eb/15bf0bf946426137dfc5cf4850a722266a04a.jpg", "license_name": "CC0", "license_url": "https://creativecommons.org/publicdomain/zero/1.0/", "citation": "Steven Cross", "similarity": 0.775, "url_small": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/5/7eb/15bf0bf946426137dfc5cf4850a722266a04a.small.jpg"}, {"id": "a53479e1e390d7336f673ae161003575982aca7c", "url": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/5/a53/479e1e390d7336f673ae161003575982aca7c.jpg", "license_name": "CC0", "license_url": "https://creativecommons.org/publicdomain/zero/1.0/", "citation": "Neil Smith", "similarity": 0.72, "url_small": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/5/a53/479e1e390d7336f673ae161003575982aca7c.small.jpg"}], "details": {"language": "en", "entity_id": "a6b75b7696d0c2f4"}}, {"id": "968d8d141ab1ce44", "name": "Quercus robur", "probability": 0.0478, "similar_images": [{"id": "a51e836756c0edee874b03a16974f5edccca6eb0", "url": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/5/a51/e836756c0edee874b03a16974f5edccca6eb0.jpeg", "license_name": "CC0", "license_url": "https://creativecommons.org/publicdomain/zero/1.0/", "citation": "\u0412\u043b\u0430\u0434\u0438\u043c\u0438\u0440 \u0411\u0435\u0440\u0435\u0441\u043d\u0435\u0432", "similarity": 0.689, "url_small": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/5/a51/e836756c0edee874b03a16974f5edccca6eb0.small.jpeg"}, {"id": "3f72ecb3b0b954bbcc7c87dc2ef46720fb225d11", "url": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/5/3f7/2ecb3b0b954bbcc7c87dc2ef46720fb225d11.jpeg", "license_name": "CC BY-NC-SA 4.0", "license_url": "https://creativecommons.org/licenses/by-nc-sa/4.0/", "citation": "FlowerChecker s.r.o.", "similarity": 0.68, "url_small": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/5/3f7/2ecb3b0b954bbcc7c87dc2ef46720fb225d11.small.jpeg"}], "details": {"language": "en", "entity_id": "968d8d141ab1ce44"}}, {"id": "50b982ec16363839", "name": "Quercus gambelii", "probability": 0.0391, "similar_images": [{"id": "d34c9dbfb7235407b19610a880b835dc415c8973", "url": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/5/d34/c9dbfb7235407b19610a880b835dc415c8973.jpeg", "license_name": "CC BY 4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "citation": "Annika Lindqvist", "similarity": 0.769, "url_small": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/5/d34/c9dbfb7235407b19610a880b835dc415c8973.small.jpeg"}, {"id": "bcd44406b3d9ad5fccfcb93bff5f1f54403f010d", "url": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/5/bcd/44406b3d9ad5fccfcb93bff5f1f54403f010d.jpg", "license_name": "CC BY 4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "citation": "Brook", "similarity": 0.763, "url_small": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/5/bcd/44406b3d9ad5fccfcb93bff5f1f54403f010d.small.jpg"}], "details": {"language": "en", "entity_id": "50b982ec16363839"}}]}, "is_plant": {"probability": 0.9570081, "threshold": 0.5, "binary": true}}, "status": "COMPLETED", "sla_compliant_client": true, "sla_compliant_system": true, "created": 1744891336.866229, "completed": 1744891337.282253}
curl --location --request POST 'https://zylalabs.com/api/4668/plant+identification+api/5889/create+identification' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"images": ["https://plant.id/static/oak.jpg"],
"latitude": 49.207,
"longitude": 16.608,
"similar_images": true
}'
Send images for health assessment. This endpoint is same as "Create Identification"
with parameter "health": "only"
.
Note: The image must be png or jpg.
Health Assessment - Características del Endpoint
Objeto | Descripción |
---|---|
language |
Opcional two-letter ISO 639-1 language code (optional, default en) - language of localized plant details can be multiple (up to 3), separated by comma - i.e. (en,de,sv) |
async |
Opcional boolean (optional) - if true: request does not wait for identification to complete and response does not contain result section; result can be later retrieved by next endpoint |
full_disease_list |
Opcional boolean (optional) - if true: list of suggested diseases contains also general diseases such as "Abiotic" |
details |
Opcional comma separetad list of requested disease details (optional) see detail description above |
Cuerpo de la Solicitud |
[Requerido] Json |
{"access_token": "ILxu8gipUVMqgiM", "model_version": "plant_id:4.3.1", "custom_id": null, "input": {"latitude": 49.207, "longitude": 16.608, "similar_images": true, "health": "only", "images": ["https://plant.id/media/imgs/f5dbdaadc9884167bbae08339a4850e8.jpg"], "datetime": "2025-03-05T01:24:10.759703+00:00"}, "status": "CREATED", "sla_compliant_client": true, "sla_compliant_system": false, "created": 1741137850.759703, "completed": null}
curl --location --request POST 'https://zylalabs.com/api/4668/plant+identification+api/5892/health+assessment' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"images": ["https://media.admagazine.com/photos/660a733195c996caa69c1c27/16:9/w_2560%2Cc_limit/calathea-roseopicta-significado.jpg"],
"latitude": 49.207,
"longitude": 16.608,
"similar_images": true
}'
Can be used to
async=True
Retrieve Identification - Características del Endpoint
Objeto | Descripción |
---|---|
details |
Opcional comma separetad list of requested plant details (optional): common_names,url,description,taxonomy,rank,gbif_id,inaturalist_id,image,synonyms,edible_parts,watering,propagation_methods |
language |
Opcional two-letter ISO 639-1 language code (optional, default en) - language of localized plant details can be multiple (up to 3), separated by comma - i.e. (en,de,sv) |
access_token |
[Requerido] |
{"access_token": "bxNJiYHpW5ta1Wh", "model_version": "plant_id:4.0.2", "custom_id": null, "input": {"images": ["https://plant.id/media/imgs/225e36dff19743afad43fa940ab97910.jpg"], "datetime": "2024-07-25T16:51:29.239978+00:00", "latitude": 49.207, "longitude": 16.608, "similar_images": true}, "result": {"is_plant": {"binary": true, "threshold": 0.5, "probability": 0.99858356}, "classification": {"suggestions": [{"id": "f008156f1715de6b", "name": "Quercus petraea", "probability": 0.6258, "similar_images": [{"id": "cab84b41bbba4752ac74fb5fbe157eccf2194b89", "url": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/4/cab/84b41bbba4752ac74fb5fbe157eccf2194b89.jpeg", "license_name": "CC BY 4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "citation": "Alexander Ordynets", "similarity": 0.818, "url_small": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/4/cab/84b41bbba4752ac74fb5fbe157eccf2194b89.small.jpeg"}, {"id": "96ca4ded93fc67d5f56e21e0140feced370fd3a5", "url": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/4/96c/a4ded93fc67d5f56e21e0140feced370fd3a5.jpeg", "license_name": "CC BY-SA 4.0", "license_url": "https://creativecommons.org/licenses/by-sa/4.0/", "citation": "Sylvain Gaudin", "similarity": 0.735, "url_small": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/4/96c/a4ded93fc67d5f56e21e0140feced370fd3a5.small.jpeg"}], "details": {"language": "en", "entity_id": "f008156f1715de6b"}}, {"id": "a6b75b7696d0c2f4", "name": "Quercus cerris", "probability": 0.1659, "similar_images": [{"id": "e56e951983b049fb6ed1fe0c74effcf381e4d176", "url": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/4/e56/e951983b049fb6ed1fe0c74effcf381e4d176.jpeg", "license_name": "CC BY-SA 4.0", "license_url": "https://creativecommons.org/licenses/by-sa/4.0/", "citation": "Lugifa Lugifa", "similarity": 0.775, "url_small": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/4/e56/e951983b049fb6ed1fe0c74effcf381e4d176.small.jpeg"}, {"id": "a9ecb27835b221c8d7243f464e8ca613afd57831", "url": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/4/a9e/cb27835b221c8d7243f464e8ca613afd57831.jpeg", "license_name": "CC BY 4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "citation": "Kai Best", "similarity": 0.769, "url_small": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/4/a9e/cb27835b221c8d7243f464e8ca613afd57831.small.jpeg"}], "details": {"language": "en", "entity_id": "a6b75b7696d0c2f4"}}, {"id": "968d8d141ab1ce44", "name": "Quercus robur", "probability": 0.1185, "similar_images": [{"id": "fe578bfed73d90a29f9f780b55a4751ca29aeeab", "url": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/4/fe5/78bfed73d90a29f9f780b55a4751ca29aeeab.jpeg", "license_name": "CC BY-NC-SA 4.0", "license_url": "https://creativecommons.org/licenses/by-nc-sa/4.0/", "citation": "FlowerChecker s.r.o.", "similarity": 0.906, "url_small": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/4/fe5/78bfed73d90a29f9f780b55a4751ca29aeeab.small.jpeg"}, {"id": "b97c7f56a0d5b760194bc4fd71c444f404f8aaeb", "url": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/4/b97/c7f56a0d5b760194bc4fd71c444f404f8aaeb.jpeg", "license_name": "CC BY 4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "citation": "Ewa Julia Kuerten", "similarity": 0.754, "url_small": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/4/b97/c7f56a0d5b760194bc4fd71c444f404f8aaeb.small.jpeg"}], "details": {"language": "en", "entity_id": "968d8d141ab1ce44"}}, {"id": "8021a9c6893677b7", "name": "Quercus pubescens", "probability": 0.0474, "similar_images": [{"id": "a96fb3b61462c7bda2ed3caf40c3953a73282a69", "url": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/4/a96/fb3b61462c7bda2ed3caf40c3953a73282a69.jpeg", "license_name": "CC BY 4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "citation": "Danilo D'Auria", "similarity": 0.895, "url_small": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/4/a96/fb3b61462c7bda2ed3caf40c3953a73282a69.small.jpeg"}, {"id": "8b99a6e1d635e1b28b4893df82f5daa1898cf851", "url": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/4/8b9/9a6e1d635e1b28b4893df82f5daa1898cf851.jpeg", "license_name": "CC BY 4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "citation": "dawk stah", "similarity": 0.759, "url_small": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/4/8b9/9a6e1d635e1b28b4893df82f5daa1898cf851.small.jpeg"}], "details": {"language": "en", "entity_id": "8021a9c6893677b7"}}, {"id": "ad0c114cd51d3c2e", "name": "Quercus pyrenaica", "probability": 0.0108, "similar_images": [{"id": "c0722366dbe7136686bbfdd21f9810507f08cc83", "url": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/4/c07/22366dbe7136686bbfdd21f9810507f08cc83.jpeg", "license_name": "CC BY-SA 4.0", "license_url": "https://creativecommons.org/licenses/by-sa/4.0/", "citation": "Tela Botanica \u2212 Florent BECK", "similarity": 0.89, "url_small": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/4/c07/22366dbe7136686bbfdd21f9810507f08cc83.small.jpeg"}, {"id": "a8d1f8c4746404d4cfcb00dbc8e953bc3890f15f", "url": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/4/a8d/1f8c4746404d4cfcb00dbc8e953bc3890f15f.jpeg", "license_name": "CC BY 4.0", "license_url": "https://creativecommons.org/licenses/by/4.0/", "citation": "Pablo Amieiro", "similarity": 0.746, "url_small": "https://plant-id.ams3.cdn.digitaloceanspaces.com/similar_images/4/a8d/1f8c4746404d4cfcb00dbc8e953bc3890f15f.small.jpeg"}], "details": {"language": "en", "entity_id": "ad0c114cd51d3c2e"}}]}}, "status": "COMPLETED", "sla_compliant_client": true, "sla_compliant_system": true, "created": 1721926289.239978, "completed": 1721926289.792683}
curl --location --request GET 'https://zylalabs.com/api/4668/plant+identification+api/5893/retrieve+identification&access_token=Required' --header 'Authorization: Bearer YOUR_API_KEY'
This endpoint will allow you to delete any identifications based on its access_token
The requested identification has been deleted.
curl --location --request DELETE 'https://zylalabs.com/api/4668/plant+identification+api/5894/delete+identification&access_token=Required' --header 'Authorization: Bearer YOUR_API_KEY'
Can be used to send a user feedback to an identification.
Specifics:
rating
- a number from 0-5 or comment
- a text comment from the user. Or include bothFeedback can help us improve our model, so thank you for sending it.
Send Feedback - Características del Endpoint
Objeto | Descripción |
---|---|
Cuerpo de la Solicitud |
[Requerido] Json |
access_token |
[Requerido] |
Feedback submitted successfully.
curl --location --request POST 'https://zylalabs.com/api/4668/plant+identification+api/5896/send+feedback&access_token=Required' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"rating": 5,
"comment": "Identified poisonous plant, saved my cat! Thanks."
}'
This endpoint is alpha beta testing and can change!
Search plant knowledge base by query. Plants are searchable by scientific names, common names (in specified language), synonyms.
Plant name and query are always matched from start of a word., i.e. "Aloe vera" is searchable by "Aloe", "Alo", "Vera", "ver", "Aloe vera"..
Plants search - Características del Endpoint
Objeto | Descripción |
---|---|
thumbnails |
Opcional bool (optional) - add for each result 64x64 thumbnail encoded as base64 image |
q |
[Requerido] Search query |
limit |
Opcional int (optional) - maximum of returned result, max. 20, default 10 |
lang |
Opcional two-letter ISO 639-1 language code (optional, default en) - language of common names can be multiple (up to 3), separated by comma - i.e. (en,de,sv) |
{"entities": [{"matched_in": "Aloe vera", "matched_in_type": "entity_name", "access_token": "WW0FZ1Y3U2MANRN1RHV8TAYzYlJFcXxERndabX1OAjM-", "match_position": 0, "match_length": 9, "entity_name": "Aloe vera", "thumbnail": 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{"matched_in": "Aloe vera", "matched_in_type": "synonym", "access_token": "D21eZwM3AWMBNRF1TXV6TFEzMFJFcXJER3cLbXxOCzM-", "match_position": 0, "match_length": 9, "entity_name": "Aloe succotrina", "thumbnail": 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{"matched_in": "Aloe vera var. officinalis", "matched_in_type": "synonym", "access_token": "Dm0BZ1Q3WmMNNUJ1TXUqTFczYFIVcSFERnddbXhOBDM-", "match_position": 0, "match_length": 9, "entity_name": "Aloe officinalis", "thumbnail": 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"entities_trimmed": false, "limit": 10}
curl --location --request GET 'https://zylalabs.com/api/4668/plant+identification+api/5897/plants+search?q=aloe vera' --header 'Authorization: Bearer YOUR_API_KEY'
This endpoint allows you to ask the LLM chatbot questions about an identification. Every other call adds another question and the bot's answer to conversation.
Parameters in POST JSON data:
question
- string - user's question to chatbot
prompt
- string - optional, allowed only for first question - extra text added to initial prompt that can modify chatbot's behaviour during conversation
temperature
- float - optional, allowed only for first question - ranges 0-2; default is 0.5; lower temperature gives more deterministic output, higher values give more random output
app_name
- string - optional, allowed only for first question - chatbot uses this identity if asked about itself
Ask chatbot - Características del Endpoint
Objeto | Descripción |
---|---|
Cuerpo de la Solicitud |
[Requerido] Json |
access_token |
[Requerido] |
{"messages": [{"content": "Is this plant edible?", "type": "question", "created": "2024-07-25T17:09:13.250Z"}, {"content": "The plant suggested is QUERCUS PETRAEA, also known as Sessile Oak. OAKS, INCLUDING SESSILE OAKS, ARE NOT COMMONLY CONSIDERED EDIBLE FOR HUMANS DUE TO HIGH TANNIN CONTENT IN THEIR ACORNS. IT IS NOT RECOMMENDED TO EAT PARTS OF THIS PLANT.", "type": "answer", "created": "2024-07-25T17:09:13.250Z"}, {"content": "Is this plant edible?", "type": "question", "created": "2024-07-25T17:09:25.107Z"}, {"content": "The plant suggested is QUERCUS CERRIS, also known as European Turkey Oak. OAKS, INCLUDING EUROPEAN TURKEY OAKS, ARE NOT COMMONLY CONSIDERED EDIBLE FOR HUMANS DUE TO HIGH TANNIN CONTENT IN THEIR ACORNS. IT IS NOT RECOMMENDED TO EAT PARTS OF THIS PLANT.", "type": "answer", "created": "2024-07-25T17:09:25.107Z"}, {"content": "Is this plant edible?", "type": "question", "created": "2024-07-25T17:12:00.460Z"}, {"content": "The plant suggested is QUERCUS ROBUR, also known as English Oak or Pedunculate Oak. OAKS, INCLUDING ENGLISH OAKS, ARE NOT COMMONLY CONSIDERED EDIBLE FOR HUMANS DUE TO HIGH TANNIN CONTENT IN THEIR ACORNS. IT IS NOT RECOMMENDED TO EAT PARTS OF THIS PLANT.", "type": "answer", "created": "2024-07-25T17:12:00.460Z"}], "identification": "wdLeOuU79IxeSTj", "remaining_calls": 17, "model_parameters": {"model": "gpt-3.5-turbo", "temperature": 0.5}, "feedback": {}}
curl --location --request POST 'https://zylalabs.com/api/4668/plant+identification+api/5899/ask+chatbot&access_token=Required' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"question": "Is this plant edible?",
"prompt": "Give answer all CAPS.",
"temperature": 0.5,
"app_name": "MyApp"
}'
Can be used to send user feedback to a chatbot conversation.
Specifics:
data must be in the form of JSON under feedback
field
recommended structure is either rating
- a number in the range 0-5 or comment
- a text input from the user. Both can be included.
Feedback can help us improve our model.
Send feedback on chatbot conversation - Características del Endpoint
Objeto | Descripción |
---|---|
Cuerpo de la Solicitud |
[Requerido] Json |
access_token |
[Requerido] |
{"status": "ok"}
curl --location --request POST 'https://zylalabs.com/api/4668/plant+identification+api/5900/send+feedback+on+chatbot+conversation&access_token=Required' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"feedback": {
"rating": 5,
"comment": "Very usefull"
}
}'
Encabezado | Descripción |
---|---|
Autorización
|
[Requerido] Debería ser Bearer access_key . Consulta "Tu Clave de Acceso a la API" arriba cuando estés suscrito. |
Sin compromiso a largo plazo. Mejora, reduce o cancela en cualquier momento. La Prueba Gratuita incluye hasta 50 solicitudes.
The plant identification process currently involves three independent models: Genus model (such as Philodendron) Species model (such as Philodendron hederaceum) Infraspecies model (such as Philodendron hederaceum var. oxycardium ‘Brasil’) You can choose which model’s results are shown in the response by using the classification_level parameter.Results from each model are post-processed in several steps where classes may be merged and probabilities adjusted. It involves re-evaluating the response to avoid duplicate information. If you want to omit the postprocessing and get the original response instead, you can set classification_raw=true. See the example.
We can currently identify around 30,000 plant species of various life forms. You can explore how our model performs on houseplants, garden ornamentals, trees and shrubs, weeds, European or American wild plants.
See available plant details in the API response in the documentation. The following table shows the content coverage for classes in the Plant.id database. Content coverage: url 100% Taxonomy – Kingdom 100% Taxonomy – Phylum 100% Taxonomy – Class 100% Taxonomy – Order 100% Taxonomy – Family 100% Taxonomy – Genus 100% GBIF id 99.99% iNaturalist_id 98.65% Wikipedia image 99.12% Propagation methods 9.16% Edible parts 8.80% Watering 9.50%
Yes, we can! Our latest model update from October 2023 (read a blog post for more) includes a capability to identify so-called infraspecific taxa, which include plant varieties, cultivars and subspecies. However, this is not a default setting of the API; in the Identification request, you need to set the classification_level = all. See the example.
Yes, we have an extra model is_healthy that can identify whether a plant is healthy or diseased. You can use the health = auto attribute to decide whether an image should undergo a Health Assessment automatically. If the model’s output exceeds a specific threshold, indicating the presence of a diseased plant, the image will be sent to the Health Assessment. If the plant is considered healthy, the cost is one credit. If the plant is considered diseased and a Health Assessment is requested, the cost is two credits. If you want responses from both Species Identification and Health Assessment, you can set the parameter health = all. The total cost would be two credits.
The cost is one identification credit, the same as for plant identification. In case you want both the Species Identification and Health Assessment results for a single plant, the cost is one credit for each product.
Diagnosing plant health is often a complex task. For example, if a plant is consistently overwatered, it is also unable to use nutrients effectively, so it will develop symptoms of both overwatering and nutrient deficiency. Therefore, when implementing this functionality, we recommend that you list more than one possible cause of disease in the result. However, you can also improve the result by taking a photo of a diseased part of a plant for best results. Some diseases have less visible symptoms (e.g. small pests), and the detail is crucial for correct identification.
With Plant disease identification API you can recognize: 28 classes of fungal diseases 18 classes of abiotic disorders 17 classes of pests 7 classes of chromista 5 classes of viruses 5 classes of bacterial diseases The full list of diseases changes dynamically. If there is a reason you need the full list, please let us know at [email protected].
You can use the redundant attribute for discarding parent classes. Discarding parent classes is useful when the difference between the probability of the parent class (higher in the hierarchy) and the child class (lower in the hierarchy) is insignificant. In this case, classes that can be discarded have a boolean attribute redundant in the response.
Each endpoint returns JSON data tailored to its function. For example, the Create Identification endpoint returns plant identification results, including species suggestions and probabilities, while the Health Assessment endpoint provides insights into plant health, including disease classifications.
Key fields include "classification" for plant suggestions, "probability" for confidence levels, and "result" for health status. The Retrieve Identification endpoint also includes "input" details like image URLs and location data.
Parameters vary by endpoint. For Create Identification, you can include "async" for asynchronous processing. The Health Assessment endpoint accepts "health" to specify the type of assessment, while the Ask Chatbot endpoint allows customization with "temperature" and "prompt."
Response data is structured in a hierarchical format. For instance, the identification result includes nested objects for "input" and "result," with each containing relevant fields like "images" and "classification." This organization helps users easily navigate the data.
The Plant Identification API leverages a robust dataset built from ten years of domain experience, incorporating contributions from various botanical databases and user feedback to enhance accuracy and reliability.
Typical use cases include identifying plant species for gardening, diagnosing plant diseases for agricultural purposes, and providing educational insights about plant care. Users can also leverage the chatbot for interactive queries about specific plants.
Users can utilize returned data by interpreting the "classification" suggestions to identify plants and their health status. The "similar_images" field can help in visual comparisons, while the "feedback" feature allows users to contribute to model improvements.
If results are partial or empty, users should verify the input images for clarity and relevance. For identification, ensure the plant is well-lit and in focus. If results are still lacking, consider submitting additional images or using different angles for better accuracy.
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