CropAI - BETA
This API is in BETA. For more information on production scale models, please contact us
The Ag-Analytics® CropAI crop identification API uses Harmonized Landsat-Sentinel imagery bands info, soil information, crop rotation, prices, and machine learning to determine what crop has been planted on a given field and when.a) Crop Identification - beta
The Ag-Analytics Crop Identification API timely and accurately determines the spatial
distribution, area, and type of crops present on a given field.
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.
Crop Identification API in use on FarmScope® via CropAI tool.
Request Parameters
| Parameter | Data Type | Required | Default | Options | Description |
|---|---|---|---|---|---|
| SHAPE | Geometry, file/text | Yes | - | GeoJSON (file/text), JSON Geometry objects (file/text) |
Desired area of interest. |
| CropSeason | Text | Yes | - | 2013-2019 | The year of interest to retrieve the crop type information. Ex. "2018" |
| ModelType | Text String | No* | "NN" | "NN" (Neural Network) "TREE" Decision Tree |
The type of AI Model to be used. *If "NN" or "TREE" are not input, must pass as an empty string. |
Request Example - application/json
application/json
{"SHAPE": "{\"type\":\"Feature\",\"properties\":{},\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-100.953840994,38.5946753571],[-100.953832008,38.5948720599],[-100.953876941,38.5952162884],[-100.953957821,38.5955324152],[-100.953984781,38.5955745654],[-100.954029714,38.5957361407],[-100.954245394,38.5961716896],[-100.954452087,38.5964807873],[-100.95473966,38.5968179832],[-100.954910406,38.596965506],[-100.954910406,38.5969795557],[-100.954982299,38.5970287299],[-100.954982299,38.5970427797],[-100.955359739,38.5973378239],[-100.955377712,38.5973378239],[-100.955629338,38.5975134449],[-100.956042724,38.5977312143],[-100.956357257,38.5978646856],[-100.956707736,38.5979911318],[-100.957175042,38.598110553],[-100.957615388,38.5981878255],[-100.958055734,38.598229974],[-100.958514053,38.5982369988],[-100.958963386,38.5982088998],[-100.959412719,38.5981456769],[-100.959906984,38.5980332805],[-100.96023949,38.5979279087],[-100.960598957,38.5977874128],[-100.960976396,38.5976047676],[-100.961281942,38.597422122],[-100.961560528,38.5972113765],[-100.961578502,38.5972113765],[-100.961848101,38.5969865806],[-100.961982901,38.5968390579],[-100.962018848,38.5968179832],[-100.962189594,38.5966283107],[-100.962315407,38.5964526876],[-100.962405274,38.5964526876],[-100.962405274,38.5963894631],[-100.962369327,38.5963894631],[-100.962369327,38.5963754133],[-100.962513113,38.5961716896],[-100.96262994,38.5959539155],[-100.962800686,38.5955324152],[-100.962908526,38.595054712],[-100.962926499,38.5948580097],[-100.962890553,38.5948509846],[-100.962962446,38.5948650348],[-100.963025352,38.5947947839],[-100.962998393,38.5947877588],[-100.962989406,38.5947666835],[-100.962917513,38.5947526333],[-100.962935486,38.5947245329],[-100.962926499,38.5946894073],[-100.962881566,38.5947034575],[-100.962665886,38.5946823822],[-100.958541013,38.5946753571],[-100.9584152,38.5947175077],[-100.958316347,38.5947175077],[-100.958298374,38.5947034575],[-100.958154587,38.5946753571],[-100.953840994,38.5946753571]]]}}",
"ScalarVariables": {
"CropSeason": "2018"
},
"ModelType":"NN"
}
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| feature_averages | List |
Averages of the bi-week remote sensing data and monthly weather data of the area-of-interest: I. Greenweek#: Green band value on the # week of the year II. Blueweek#: Blue band value on the # week of the year III. Redweek#: Red band value on the # week of the year IV. NIRweek#: Near Infrared band value on the # week of the year V. SWIR1week#: Shortwave Infrared band 1 value on the # week of the year VI. SWIR2week#: Shortwave Infrared band 2 value on the # week of the year VII. GDD#: Monthly growing degree days VIII. Precipitation#: Monthly precipitation |
| raster_filename | - |
URL to download result raster (.tif) file. |
| rasterinfo.CellSize | Resolution |
Resolution of result Geotiff file in meters. |
| rasterinfo.CoordinateSystem | - |
Information about the projection of the raster. |
| rasterinfo.Extent | - |
Extents of the result raster. Specifies the bottom left and top right corners of the field raster in degrees. |
| rasterinfo.Legend | List |
Legend gives the following details for each range of values: I. Area: Area covered II. AreaUnit: Unit of Area covered III. AreaPercent: Area covered in percentage. IV. Count: # of pixels from the result raster in that range V. CountAllPixels: Total # of pixels in the result raster VI. CropID: Code for the crop identified by model. See Figure 4 VII. CropName: Crop name identified by the model VIII. Color: Hex color used for the crop type |
| rasterinfo.pngb64 | Link |
Base64png image of the result raster with legend entries. |
Response Example - application/json
{
"feature_averages": {
"Blueweek18": 779.824844896861,
"Blueweek20": 1975.2838106368124,
"Blueweek22": 733.3521051359988,
"Blueweek24": 643.9180616872748,
"Blueweek26": 344.2115098055459,
"Blueweek28": 235.72472900506003,
"Blueweek30": 204.4056550889475,
"Blueweek32": 216.0730864324732,
"Blueweek34": 266.59034645931484,
"Blueweek36": 622.0089586686997,
"GDD3": 40.4415,
"GDD4": 88.57439999999998,
"GDD5": 567.5903999999999,
"GDD6": 808.3584,
"GDD7": 216.13589999999996,
"GDD8": 0.0,
"Greenweek18": 1138.131570659558,
"Greenweek20": 2254.270159289066,
"Greenweek22": 1013.7187401697631,
"Greenweek24": 928.849268847287,
"Greenweek26": 571.9230231878212,
"Greenweek28": 457.9029104885397,
"Greenweek30": 384.65050915319665,
"Greenweek32": 375.24875445591255,
"Greenweek34": 540.8961853834992,
"Greenweek36": 749.1952922510966,
"NIRweek18": 2970.0740078383446,
"NIRweek20": 3536.6660938053815,
"NIRweek22": 2412.510195847856,
"NIRweek24": 3292.298120071036,
"NIRweek26": 3535.8988991057713,
"NIRweek28": 3721.192446778267,
"NIRweek30": 3591.1494805204393,
"NIRweek32": 3262.5500419977257,
"NIRweek34": 3012.6094064752187,
"NIRweek36": 2956.2582454919366,
"Precipitation3": 11.524,
"Precipitation4": 25.41900000000001,
"Precipitation5": 70.78399999999999,
"Precipitation6": 152.91100000000003,
"Precipitation7": 1.4809999999999999,
"Precipitation8": 0.0,
"Redweek18": 1903.1859603449168,
"Redweek20": 2480.602444221482,
"Redweek22": 1324.5397082727213,
"Redweek24": 1069.7853810301349,
"Redweek26": 512.0971963633662,
"Redweek28": 379.9113349957818,
"Redweek30": 283.1936926800272,
"Redweek32": 279.2847222138893,
"Redweek34": 467.8558782624387,
"Redweek36": 727.4151962193739,
"SWIR1week18": 3338.836322033022,
"SWIR1week20": 3808.579113377245,
"SWIR1week22": 3199.2655615880494,
"SWIR1week24": 1902.9297659572896,
"SWIR1week26": 1254.004163243775,
"SWIR1week28": 677.788417488776,
"SWIR1week30": 962.4707162781339,
"SWIR1week32": 994.7986702873936,
"SWIR1week34": 865.6824701031575,
"SWIR1week36": 628.7585803430337,
"SWIR2week18": 2391.667558326072,
"SWIR2week20": 2977.71718115419,
"SWIR2week22": 2392.3059762302105,
"SWIR2week24": 1066.0881596873523,
"SWIR2week26": 577.5711350554554,
"SWIR2week28": 14.881174763569534,
"SWIR2week30": 305.1543742073506,
"SWIR2week32": 299.5264928749243,
"SWIR2week34": 805.5621165630723,
"SWIR2week36": 193.83389703934495
},
"raster_filename": "result_cropidraster_20191126_183736_2356.tif",
"rasterinfo": {
"CellSize": [
0.0001,
-0.0001
],
"CoordinateSystem": "GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563,AUTHORITY[\"EPSG\",\"7030\"]],AUTHORITY[\"EPSG\",\"6326\"]],PRIMEM[\"Greenwich\",0],UNIT[\"degree\",0.0174532925199433],AUTHORITY[\"EPSG\",\"4326\"]]",
"Extent": "-100.963025352, 38.5946369988, -100.953925352, 38.5982369988",
"Legend": [
{
"Area": 4.969644751890395,
"AreaPercent": '3.82 %',
"AreaUnit": "ac",
"Count": 101,
"CountAllPixels": 2645,
"CropID": 1,
"CropName": "CORN_WET",
"color": "#e8aba4"
},
{
"Area": "96.18 %",
"Area": 125.17600246345707,
"AreaPercent": "96.18 %",
"AreaUnit": "ac",
"Count": 2544,
"CountAllPixels": 2645,
"CropID": 4,
"CropName": "WHEAT_HRD_RD_SPR",
"color": "#9d250e"
}
],
"pngb64": "data:image/png;base64, iVBORw0KGgoAAAANSUhEUgAAAFsAAAAkCAYAAADmQkaNAAABCklEQVR4nO3Xuw3CMBSFYdsD0DECkzEXXbqMxAKR0jEBFSgY27l+3OM8zt9GSpSPI0dYs6Eet8uscd/783XVuG9utufDtXAl9fgB4Ng9gWOh4CHYWwSOpQmvir0nZD8NdBXsPSP7tURvin0kZL8W6E2wj4zsV4Puah9+Jmhj6t63eNlnQ/YrWXgR9tmhl+WgZx8jhP4txyMLm9DhpC5ibEKnk/iIsAkta81pFZvQeaW8ktiELivmFsUmdF0hv+p/kExeEJurbpPv+IdNaL14jCi3HK+LXWDt47IBfUZMbGBfbB4huk3jMHPZwIgNzBnDIwQVlw2M2MCIDYzYwBw/jri4bGB2GgcuG9Qbz/tZxU5PLj0AAAAASUVORK5CYII="
}
}
Shape Example - GeoJSON
"{\"type\":\"Feature\",\"properties\":{},\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-100.953840994,38.5946753571],[-100.953832008,38.5948720599],[-100.953876941,38.5952162884],[-100.953957821,38.5955324152],[-100.953984781,38.5955745654],[-100.954029714,38.5957361407],[-100.954245394,38.5961716896],[-100.954452087,38.5964807873],[-100.95473966,38.5968179832],[-100.954910406,38.596965506],[-100.954910406,38.5969795557],[-100.954982299,38.5970287299],[-100.954982299,38.5970427797],[-100.955359739,38.5973378239],[-100.955377712,38.5973378239],[-100.955629338,38.5975134449],[-100.956042724,38.5977312143],[-100.956357257,38.5978646856],[-100.956707736,38.5979911318],[-100.957175042,38.598110553],[-100.957615388,38.5981878255],[-100.958055734,38.598229974],[-100.958514053,38.5982369988],[-100.958963386,38.5982088998],[-100.959412719,38.5981456769],[-100.959906984,38.5980332805],[-100.96023949,38.5979279087],[-100.960598957,38.5977874128],[-100.960976396,38.5976047676],[-100.961281942,38.597422122],[-100.961560528,38.5972113765],[-100.961578502,38.5972113765],[-100.961848101,38.5969865806],[-100.961982901,38.5968390579],[-100.962018848,38.5968179832],[-100.962189594,38.5966283107],[-100.962315407,38.5964526876],[-100.962405274,38.5964526876],[-100.962405274,38.5963894631],[-100.962369327,38.5963894631],[-100.962369327,38.5963754133],[-100.962513113,38.5961716896],[-100.96262994,38.5959539155],[-100.962800686,38.5955324152],[-100.962908526,38.595054712],[-100.962926499,38.5948580097],[-100.962890553,38.5948509846],[-100.962962446,38.5948650348],[-100.963025352,38.5947947839],[-100.962998393,38.5947877588],[-100.962989406,38.5947666835],[-100.962917513,38.5947526333],[-100.962935486,38.5947245329],[-100.962926499,38.5946894073],[-100.962881566,38.5947034575],[-100.962665886,38.5946823822],[-100.958541013,38.5946753571],[-100.9584152,38.5947175077],[-100.958316347,38.5947175077],[-100.958298374,38.5947034575],[-100.958154587,38.5946753571],[-100.953840994,38.5946753571]]]}}"
Notice: If the request takes longer than 60 seconds, Azure will throw it out. In that case please test using the Jupyter Notebook.
Call API
Request
Request URL
Request headers
-
(optional)string
Request body
{
"SHAPE": "{\"type\":\"Feature\",\"properties\":{},\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-100.953840994,38.5946753571],[-100.953832008,38.5948720599],[-100.953876941,38.5952162884],[-100.953957821,38.5955324152],[-100.953984781,38.5955745654],[-100.954029714,38.5957361407],[-100.954245394,38.5961716896],[-100.954452087,38.5964807873],[-100.95473966,38.5968179832],[-100.954910406,38.596965506],[-100.954910406,38.5969795557],[-100.954982299,38.5970287299],[-100.954982299,38.5970427797],[-100.955359739,38.5973378239],[-100.955377712,38.5973378239],[-100.955629338,38.5975134449],[-100.956042724,38.5977312143],[-100.956357257,38.5978646856],[-100.956707736,38.5979911318],[-100.957175042,38.598110553],[-100.957615388,38.5981878255],[-100.958055734,38.598229974],[-100.958514053,38.5982369988],[-100.958963386,38.5982088998],[-100.959412719,38.5981456769],[-100.959906984,38.5980332805],[-100.96023949,38.5979279087],[-100.960598957,38.5977874128],[-100.960976396,38.5976047676],[-100.961281942,38.597422122],[-100.961560528,38.5972113765],[-100.961578502,38.5972113765],[-100.961848101,38.5969865806],[-100.961982901,38.5968390579],[-100.962018848,38.5968179832],[-100.962189594,38.5966283107],[-100.962315407,38.5964526876],[-100.962405274,38.5964526876],[-100.962405274,38.5963894631],[-100.962369327,38.5963894631],[-100.962369327,38.5963754133],[-100.962513113,38.5961716896],[-100.96262994,38.5959539155],[-100.962800686,38.5955324152],[-100.962908526,38.595054712],[-100.962926499,38.5948580097],[-100.962890553,38.5948509846],[-100.962962446,38.5948650348],[-100.963025352,38.5947947839],[-100.962998393,38.5947877588],[-100.962989406,38.5947666835],[-100.962917513,38.5947526333],[-100.962935486,38.5947245329],[-100.962926499,38.5946894073],[-100.962881566,38.5947034575],[-100.962665886,38.5946823822],[-100.958541013,38.5946753571],[-100.9584152,38.5947175077],[-100.958316347,38.5947175077],[-100.958298374,38.5947034575],[-100.958154587,38.5946753571],[-100.953840994,38.5946753571]]]}}",
"ScalarVariables": {
"CropSeason": "2018"
},
"ModelType":"NN"
}{
"SHAPE": "{\"type\":\"Feature\",\"properties\":{},\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-100.953840994,38.5946753571],[-100.953832008,38.5948720599],[-100.953876941,38.5952162884],[-100.953957821,38.5955324152],[-100.953984781,38.5955745654],[-100.954029714,38.5957361407],[-100.954245394,38.5961716896],[-100.954452087,38.5964807873],[-100.95473966,38.5968179832],[-100.954910406,38.596965506],[-100.954910406,38.5969795557],[-100.954982299,38.5970287299],[-100.954982299,38.5970427797],[-100.955359739,38.5973378239],[-100.955377712,38.5973378239],[-100.955629338,38.5975134449],[-100.956042724,38.5977312143],[-100.956357257,38.5978646856],[-100.956707736,38.5979911318],[-100.957175042,38.598110553],[-100.957615388,38.5981878255],[-100.958055734,38.598229974],[-100.958514053,38.5982369988],[-100.958963386,38.5982088998],[-100.959412719,38.5981456769],[-100.959906984,38.5980332805],[-100.96023949,38.5979279087],[-100.960598957,38.5977874128],[-100.960976396,38.5976047676],[-100.961281942,38.597422122],[-100.961560528,38.5972113765],[-100.961578502,38.5972113765],[-100.961848101,38.5969865806],[-100.961982901,38.5968390579],[-100.962018848,38.5968179832],[-100.962189594,38.5966283107],[-100.962315407,38.5964526876],[-100.962405274,38.5964526876],[-100.962405274,38.5963894631],[-100.962369327,38.5963894631],[-100.962369327,38.5963754133],[-100.962513113,38.5961716896],[-100.96262994,38.5959539155],[-100.962800686,38.5955324152],[-100.962908526,38.595054712],[-100.962926499,38.5948580097],[-100.962890553,38.5948509846],[-100.962962446,38.5948650348],[-100.963025352,38.5947947839],[-100.962998393,38.5947877588],[-100.962989406,38.5947666835],[-100.962917513,38.5947526333],[-100.962935486,38.5947245329],[-100.962926499,38.5946894073],[-100.962881566,38.5947034575],[-100.962665886,38.5946823822],[-100.958541013,38.5946753571],[-100.9584152,38.5947175077],[-100.958316347,38.5947175077],[-100.958298374,38.5947034575],[-100.958154587,38.5946753571],[-100.953840994,38.5946753571]]]}}",
"ScalarVariables": {
"CropSeason": "2018"
},
"ModelType": "NN"
}Responses
200 OK
Code samples
@ECHO OFF
curl -v -X POST "https://ag-analytics.azure-api.net/cropidentification/"
-H "Content-Type: application/json"
--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 headers
var uri = "https://ag-analytics.azure-api.net/cropidentification/?" + queryString;
HttpResponseMessage response;
// Request body
byte[] byteData = Encoding.UTF8.GetBytes("{body}");
using (var content = new ByteArrayContent(byteData))
{
content.Headers.ContentType = new MediaTypeHeaderValue("< your content type, i.e. application/json >");
response = await client.PostAsync(uri, content);
}
}
}
} // // 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/");
URI uri = builder.build();
HttpPost request = new HttpPost(uri);
request.setHeader("Content-Type", "application/json");
// 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
};
$.ajax({
url: "https://ag-analytics.azure-api.net/cropidentification/?" + $.param(params),
beforeSend: function(xhrObj){
// Request headers
xhrObj.setRequestHeader("Content-Type","application/json");
},
type: "POST",
// 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",
];
NSString* string = [array componentsJoinedByString:@"&"];
path = [path stringByAppendingFormat:@"?%@", string];
NSLog(@"%@", path);
NSMutableURLRequest* _request = [NSMutableURLRequest requestWithURL:[NSURL URLWithString:path]];
[_request setHTTPMethod:@"POST"];
// Request headers
[_request setValue:@"application/json" forHTTPHeaderField:@"Content-Type"];
// 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
'Content-Type' => 'application/json',
);
$request->setHeader($headers);
$parameters = array(
// Request parameters
);
$url->setQueryVariables($parameters);
$request->setMethod(HTTP_Request2::METHOD_POST);
// 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 = {
# Request headers
'Content-Type': 'application/json',
}
params = urllib.urlencode({
})
try:
conn = httplib.HTTPSConnection('ag-analytics.azure-api.net')
conn.request("POST", "/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 = {
# Request headers
'Content-Type': 'application/json',
}
params = urllib.parse.urlencode({
})
try:
conn = http.client.HTTPSConnection('ag-analytics.azure-api.net')
conn.request("POST", "/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/')
request = Net::HTTP::Post.new(uri.request_uri)
# Request headers
request['Content-Type'] = 'application/json'
# 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