1. The researches and studies Alpha-Brown is conducting are based on unique information obtained from direct contact from farmers. The objective of our research method is to understand, firsthand, what are really the needs of farmers in everything concerning technology.

  2. Thus, AlphaBrown developed access to a large scale of farmers (~60,000), mainly in the U.S. and Canada. The main methodologies of data collection are by means of on-line surveys that farmers answer, most of them on free will.

  3. AlphaBrown presents itself to the farmers and tells them what the purpose of the surveys is and for what it will be used. In any case, the personal details of the farmers who participated in the survey remain anonymous and are inaccessible to people outside the company for any purpose.

  4. As part of the surveys, we explain to farmers what the issue is we want their opinion as clearly as possible in order to receive clear answers.

  5. The structure of the surveys always include general questions about the agricultural activity of the farmers, including the location of the farm, the size, the areas of the activity, and sometimes questions about other general issues

  6. Afterward, there are questions relating to the subject that we want to check from general familiarity with the field, whether they currently use this specific technological solution, level of satisfaction. This leads us to the third type of question about their interest in using it in the future.

  7. The structure of the questions enable us to get a full picture of the level of awareness of the products to the same technological solution, the scope of the market today and the future potential

  8. In addition, we add questions that aim to examine what the more required features by farmers in order are to enable technology companies to focus their development efforts on those needs that farmers really need

  9. We also try to give practical advice to adjust the marketing efforts of the tech companies, including what type and size of farms are more correct for this solution, to refine sales efforts. For example, when we explored the field of robots for harvesting, we could offer what kind of crops would be more appropriate, based on data received in a survey about the amount of farmers’ expenditure on temporary workers (which the robot should replace).

  10. To determine market size and potential in terms of the number of clients and expected revenues, we use as a benchmark the overall data of the U.S Ministry of Agriculture (USDA) that regularly publishes the data on the number and types of farms in the United States.

  11. We also include a snapshot of the competitors and systems currently on the market in order to give our customers an updated picture of the status of the products in the market today