Services.

The project is an independent farmer-to-farmer agronomic information system that will provide affordable data insights for farmers. The platform will collect the certain data from farmers that divided into six layers as well as external information from data providers of weather, satellite data, remote sensing data, and photo banks. Based in the accumulated data set, the platform will utilise data science and machine learning to provide members of the platform with insights about each of their fields, powered by massive amount of data points from the network. We will provide farmers with their and market product performance, benchmarking, and predictive analytics based on real world performance data.

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Machine learning.​

The first product is the crop yield prediction system. The company will start to develop a prototype of crop yield prediction model and at the first stage will be focused on the one of trading commodities (row crops) such as wheat. Spain, with a structural deficit in grains, is Europe’s biggest grain importer, with purchases mainly driven by a large livestock sector. Spanish agriculture is highly dependent on the weather conditions and drought could affect the crop yield significantly. In 2012, for example, wheat, oats, barley production dropped by 20% due to extremely dry conditions and lack of the rainfall.

Network.​

The farmers network system will be built simultaneously with machine learning system. As was mentioned before, the main aims of this system are to provide farmers with benchmarking data on their types of the soil, crops, and fertilisers, final products prices etc., and input prices.
Benchmarking will allow farmers to:

• Compare different crops and see the real crop yields based on different characteristics.
• Investigate the real prices for final products (crops) and find the best buyers.
• Measure their farm to similar farms in the area and to even different countries in the future.

Portfolio

​ optimization. ​

Another service that is planning to be provided by the Company on the later stage of its development is a crops’ portfolio optimisation. It is expected that the company will accumulate sufficient amount of information among different crops. This will allow the company to provide additional service of recommendation a portfolio of crops for a specific field.
 
A portfolio theory approach to crop planning is a part if the agriculture risk management and this strategy can be applied by any farmer with some knowledge of how to cultivate more than one crop, including farmers with small and/or contiguous parcels of land. 

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Competitive value.​

The company is expected to have the following advantages over its competition:

• lower prices that could explained by having lower salaries of IT personnel and leveraging the relatively low-cost but high-performance cloud computing ecosystems like Microsoft Azure;
• the company’s focus will be on the customer satisfaction by providing a high-quality product and service;
• the company’s strategy will be connected with building long-term relationships with its clients that’s why customer service will have additional focus;
• earlier adoption of understanding the system will provide a first mover advantage and the unique knowledge of the farms’ productivity factors depending on the Spanish region.