Agriculture is the world’s largest industry. It employs more than one billion people and generates over $1.3 trillion dollars worth of food annually. According to Monsanto, the precision agricultural big data market is estimated at $25 billion per year, based on the assumptions of 1’000M hectares globally at the average service price of $25 per hectare.

Investments in AgTech are skyrocketing, however there is still a lack of consensus regarding who will be the next Facebook in AgTech. Will it be sensor companies, providers of the farm management platforms, aerial imagery/ satellite data providers or data analytics companies? What’s clear that despite having quite advanced automation technologies in agriculture, the core challenge in AgTech is to be able to provide necessary information about plants and soil on a large scale and in a cost- efficient way.

AgTech core problem

The world population is projected to reach 10 billion people by 2050. This presents an urgent need to increase a global food production by 70%. Existing innovation in agriculture relies a lot on advanced agricultural machinery and automation. Indeed, you can find self-driving tractors with integrated on-board computers, GPS and sensors. Machinery with variable rate dosing of fertilizers and chemicals, yield mapping and automatic and precise seeding is a standard among advanced agricultural producers.

On the other side, there is still an agronomist, who performs a manual inspection of the farmland and collects samples of soil and plants for the chemical analysis in the laboratory. How efficiently can he monitor all different farming issues (diseases, nutrient deficiencies, soil quality, environmental stresses, growth development and etc.) on a farm with 10’000 hectares? Despite the level of his expertize, agronomist can’t scale his monitoring and diagnostics abilities, and this significantly limits the ability to use agricultural precision machinery having very limited information about the situation in the field.

Gamaya, a Swiss startup active in a smart farming, tries to resolve the core problem in AgTech by providing all necessary information about plants and soil on a large scale and in a cost-efficient way using breakthrough hyperspectral imaging technology complimented by unique data mining and analytics technology. Gamaya integrates a unqiue hypespectral imaging camera technology together with algorithmic know-how to translate the data from the camera into actionable information for agricultural businesses. Gamaya provides agronomists and farmers with the solution for monitoring and diagnostics of issues affecting crops, including disease, nutrient deficiency and environmental stress. All that results in a strong value proposition by Gamaya:

  • Integrated sensing technology for soil and crops
  • Complete crop visibility on a large scale and in a cost-efficient way
  • Full field awareness with crop-specific diagnostics
  • Translating a big-data into valuable information