In this post, we will talk about how to get Wheat From Month data and about Machine Learning.
The “machine learning” subfield of artificial intelligence is focused with developing algorithms that can learn from data and predict the future. The algorithms can forecast future events such as user behavior, weather, and the health of the financial markets. Machine learning algorithms are built on a foundation of training data that includes specifics about prior events. In agriculture, machine learning algorithms are used to forecast crop diseases and yields based on meteorological data. Farmers can thus prepare and take preventive measures prior to a disease outbreak or drought.
The Open Data Catalog, a collection of APIs for agricultural data, includes a WFM API. The API offers details on crop production and yield in addition to the weather when harvesting. Based on past weather patterns, this information can be used to forecast agricultural yields and production levels for the future. For planning purposes, the API can also be used to calculate crop yield and production at various points during the growing season.
People are now interested in using machine learning algorithms to analyse previously collected agricultural industry data. Farmers may be able to better anticipate yields and manage crops as a result of this. It may also assist them in determining the optimal time to sell their produce at the market.
A machine learning program that forecasts wheat yield based on past weather data is the Commodities API. The US National Oceanic and Atmospheric Administration (NOAA) is the source of this data, which spans the years 1980 to the present.
Commodities API
Originally, commodities rates were provided by banks and the stock exchange using the Commodities-API, a simple, lightweight Open-Source API.
This API can give programmers with access to real-time commodity data at a frequency of up to every 60 seconds with a precision of two decimal places. Among the capabilities are the ability to provide exchange rates for nearly any good, translate between single currencies, provide time-series data, and provide volatility statistics.
You can obtain data from a variety of goods using this API. You must input a specific symbol that the API provides into the endpoint in order to get a response that seems like this. Every object has a special symbol.
We need price and information about Wheat From Month on this specific occasion, and this API responded with the “WFM” symbol. 0.0016359918200409 grams of wheat are equal to one US dollar in this way.
Divide all commodity rates by 1, using the USD as the base currency. The values are given back in the base currency. The return in this case consists of 0.0016359918200409 grams of Wheat From Month (WFM) for 1 USD. To get 611.25 US dollars, divide the price of wheat per gram by 0.0016359918200409.
To Use It, Just Adhere To These Steps:
- To use the API right away, all you need to do is sign up at Commodities API!
- Look for the symbols that match your search.
- Make an API call with them, placing your selected commodities in symbol, and your preferred currency in base currency.