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Feeding the world with AI-driven agriculture innovation

Data scientists are part of virtually every major industry, and agriculture is no exception. The Agriculture market is booming when it comes down to Machine Learning technologies. Here you find market developments and opportunities for companies and data scientists.

Possible AI-powered Applications for the agriculture industry

Prediction of optimal production level – Image Recognition

Using the automatic analysis of food photos, it is possible to predict exactly how long it will take before something is ripe and ready to be picked. It is also possible to predict which product will be considered spoiled using this AI algorithm.

Smart monitoring

Preventing damage to agriculture by vermin. Through AI and the placement of smart nodes, it is possible to detect swarms of insects and to act preventively to prevent damage to agriculture.

Robots

Companies develop and program autonomous robots to tackle essential agricultural tasks, such as harvesting crops at a higher volume and faster pace than human workers.

With 30% of the workforce worldwide, agriculture is one of our largest industries.

The agriculture is a massive industry and in some countries over 60% of the employments is handled in agriculture.

Key components

Cultivation: growing products in the soil. Livestock production systems: products from live animals (for example milk) or the slaughter of animals. Agriculture: cultivating the soil and growing new products. Crop modification and bio technology: the genetic modification of products.

Global footprint

30% of all employees in the world are active in the agricultural and food sector. 80% of them are active in less developed countries, 2% are active in the more developed countries. Besides, the world must produce 50% more food by 2050. Turnover from the agricultural industry is $5 trillion, 10% of total consumer spending.

Threats

Climat change, global warming en quality security of food.

What value can bring Data Science & AI to your farming company?

Data capturing

Using smart cameras, nodes and IoT sensors, you can gather more information about the developments of your goods.

Machine Learning

Using deep learning techniques and image recognition, you automatically convert your data to actionable insights.

The data ecosystem

Connecting data sources from different stakeholders in the value chain (seed companies, equipment manufacturers, traders and software developers), you can create an ecosystem and profit from large scale data analysis.

Discover our freelancers in this field