AI in agriculture

Can you imagine an industry that involves more risk than agriculture? You reap what you sow, they say. But what they forget to add is “if you’re lucky.” When the weather strikes or crops get affected by disease, farmers can hardly talk about yields. Or when a global pandemic hits, all of a sudden it gets harder to manage various processes because most are not digital.

At the same time, the global population is growing, and urbanization is continuing. Disposable income is rising, and consumption habits are changing. Farmers are under a lot of pressure to meet the increasing demand, and they need a way to increase productivity. Thirty years from now, there will be more people to feed. And since the amount of fertile soil is limited, there will also be a need to move beyond traditional farming.

We need to look for ways to help farmers minimize their risks, or at least make them more manageable. Implementing artificial intelligence in agriculture on a global scale is one of the most promising opportunities.

AI can potentially change the way we see agriculture, enabling farmers to achieve more results with less effort while bringing many other benefits. However, AI is not a technology that works independently. As the next step on the way from traditional to innovative farming, AI can supplement already implemented technologies.

Agribusinesses need to know that AI isn’t a panacea. However, it can bring tangible benefits to small everyday things and simplify the lives of farmers in many ways. So how can we use artificial intelligence for sustainable farming? What are the opportunities of AI in farming and how can AI help us tackle existing challenges?