CropAI - BETA

This API is in BETA. Please contact us to demo this API, or for more information on production scale models.

Crop Identification

Service Overview

The Ag-Analytics® Crop Identification API timely and accurately determines the spatial distribution, area, and type of crops present on a given field. This beta version uses machine learning models to provide a back-filling crop identification service meaning that it is used for the past years in the field where all the relevant information exists, but the crop type is uncertain.


Crop Identification API in use on FarmScope® via CropAI tool.

 


Model Specifications

The Crop Identification Model, of which the Crop Identification API is based on, takes four main factors into consideration: Location, Weather, Soil information, and Remote Sensing Satellite Imagery/Data. Location, weather, and soil are the three most determining factors in if a given crop will be planted and thrive in a certain area. Remote Sensing Satellite imagery/Data provides near real-time information of a given crop at different developing stages during its growing season.

Sample API Specifications

Please contact us to demo our crop identification models. See sample API call below.


GET Request

Parameter Description Example Request
filename File name to download. From POST request.
Only request a single file at a time.
result_ cropidraster_20191126_183736_ 2356.tif https://ag-analytics.azure-api.net/crop-identification-model/?filename= result_ cropidraster_20191126_183736_ 2356.tif



Call API

Request

Request URL

Request parameters

  • (optional)

    File name of the file from POST Crop Identification.

Request body

Code samples

@ECHO OFF

curl -v -X GET "https://ag-analytics.azure-api.net/cropidentification/?filename={}"

--data-ascii "{body}" 
using System;
using System.Net.Http.Headers;
using System.Text;
using System.Net.Http;
using System.Web;

namespace CSHttpClientSample
{
    static class Program
    {
        static void Main()
        {
            MakeRequest();
            Console.WriteLine("Hit ENTER to exit...");
            Console.ReadLine();
        }
        
        static async void MakeRequest()
        {
            var client = new HttpClient();
            var queryString = HttpUtility.ParseQueryString(string.Empty);


            // Request parameters
            queryString["filename"] = "{}";
            var uri = "https://ag-analytics.azure-api.net/cropidentification/?" + queryString;

            var response = await client.GetAsync(uri);
        }
    }
}	
// // This sample uses the Apache HTTP client from HTTP Components (http://hc.apache.org/httpcomponents-client-ga/)
import java.net.URI;
import org.apache.http.HttpEntity;
import org.apache.http.HttpResponse;
import org.apache.http.client.HttpClient;
import org.apache.http.client.methods.HttpGet;
import org.apache.http.client.utils.URIBuilder;
import org.apache.http.impl.client.HttpClients;
import org.apache.http.util.EntityUtils;

public class JavaSample 
{
    public static void main(String[] args) 
    {
        HttpClient httpclient = HttpClients.createDefault();

        try
        {
            URIBuilder builder = new URIBuilder("https://ag-analytics.azure-api.net/cropidentification/");

            builder.setParameter("filename", "{}");

            URI uri = builder.build();
            HttpGet request = new HttpGet(uri);


            // Request body
            StringEntity reqEntity = new StringEntity("{body}");
            request.setEntity(reqEntity);

            HttpResponse response = httpclient.execute(request);
            HttpEntity entity = response.getEntity();

            if (entity != null) 
            {
                System.out.println(EntityUtils.toString(entity));
            }
        }
        catch (Exception e)
        {
            System.out.println(e.getMessage());
        }
    }
}

<!DOCTYPE html>
<html>
<head>
    <title>JSSample</title>
    <script src="http://ajax.googleapis.com/ajax/libs/jquery/1.9.0/jquery.min.js"></script>
</head>
<body>

<script type="text/javascript">
    $(function() {
        var params = {
            // Request parameters
            "filename": "{}",
        };
      
        $.ajax({
            url: "https://ag-analytics.azure-api.net/cropidentification/?" + $.param(params),
            beforeSend: function(xhrObj){
                // Request headers
            },
            type: "GET",
            // Request body
            data: "{body}",
        })
        .done(function(data) {
            alert("success");
        })
        .fail(function() {
            alert("error");
        });
    });
</script>
</body>
</html>
#import <Foundation/Foundation.h>

int main(int argc, const char * argv[])
{
    NSAutoreleasePool * pool = [[NSAutoreleasePool alloc] init];
    
    NSString* path = @"https://ag-analytics.azure-api.net/cropidentification/";
    NSArray* array = @[
                         // Request parameters
                         @"entities=true",
                         @"filename={}",
                      ];
    
    NSString* string = [array componentsJoinedByString:@"&"];
    path = [path stringByAppendingFormat:@"?%@", string];

    NSLog(@"%@", path);

    NSMutableURLRequest* _request = [NSMutableURLRequest requestWithURL:[NSURL URLWithString:path]];
    [_request setHTTPMethod:@"GET"];
    // Request headers
    // Request body
    [_request setHTTPBody:[@"{body}" dataUsingEncoding:NSUTF8StringEncoding]];
    
    NSURLResponse *response = nil;
    NSError *error = nil;
    NSData* _connectionData = [NSURLConnection sendSynchronousRequest:_request returningResponse:&response error:&error];

    if (nil != error)
    {
        NSLog(@"Error: %@", error);
    }
    else
    {
        NSError* error = nil;
        NSMutableDictionary* json = nil;
        NSString* dataString = [[NSString alloc] initWithData:_connectionData encoding:NSUTF8StringEncoding];
        NSLog(@"%@", dataString);
        
        if (nil != _connectionData)
        {
            json = [NSJSONSerialization JSONObjectWithData:_connectionData options:NSJSONReadingMutableContainers error:&error];
        }
        
        if (error || !json)
        {
            NSLog(@"Could not parse loaded json with error:%@", error);
        }
        
        NSLog(@"%@", json);
        _connectionData = nil;
    }
    
    [pool drain];

    return 0;
}
<?php
// This sample uses the Apache HTTP client from HTTP Components (http://hc.apache.org/httpcomponents-client-ga/)
require_once 'HTTP/Request2.php';

$request = new Http_Request2('https://ag-analytics.azure-api.net/cropidentification/');
$url = $request->getUrl();

$headers = array(
    // Request headers
);

$request->setHeader($headers);

$parameters = array(
    // Request parameters
    'filename' => '{}',
);

$url->setQueryVariables($parameters);

$request->setMethod(HTTP_Request2::METHOD_GET);

// Request body
$request->setBody("{body}");

try
{
    $response = $request->send();
    echo $response->getBody();
}
catch (HttpException $ex)
{
    echo $ex;
}

?>
########### Python 2.7 #############
import httplib, urllib, base64

headers = {
}

params = urllib.urlencode({
    # Request parameters
    'filename': '{}',
})

try:
    conn = httplib.HTTPSConnection('ag-analytics.azure-api.net')
    conn.request("GET", "/cropidentification/?%s" % params, "{body}", headers)
    response = conn.getresponse()
    data = response.read()
    print(data)
    conn.close()
except Exception as e:
    print("[Errno {0}] {1}".format(e.errno, e.strerror))

####################################

########### Python 3.2 #############
import http.client, urllib.request, urllib.parse, urllib.error, base64

headers = {
}

params = urllib.parse.urlencode({
    # Request parameters
    'filename': '{}',
})

try:
    conn = http.client.HTTPSConnection('ag-analytics.azure-api.net')
    conn.request("GET", "/cropidentification/?%s" % params, "{body}", headers)
    response = conn.getresponse()
    data = response.read()
    print(data)
    conn.close()
except Exception as e:
    print("[Errno {0}] {1}".format(e.errno, e.strerror))

####################################
require 'net/http'

uri = URI('https://ag-analytics.azure-api.net/cropidentification/')

query = URI.encode_www_form({
    # Request parameters
    'filename' => '{}'
})
if query.length > 0
  if uri.query && uri.query.length > 0
    uri.query += '&' + query
  else
    uri.query = query
  end
end

request = Net::HTTP::Get.new(uri.request_uri)
# Request body
request.body = "{body}"

response = Net::HTTP.start(uri.host, uri.port, :use_ssl => uri.scheme == 'https') do |http|
    http.request(request)
end

puts response.body