These are just a few of the stats I found with a quick google search on “global digital agriculture market”. I don’t know if these numbers are accurate or not but, what’s very clear from these and many other researched statistics, is that the market for gathering information and creating structured data through a variety of sensors (IoT), and the artificial intelligence (AI) or machine learning (ML) systems needed to interpret this data and turn them into actionable suggestions, is large and constantly growing.
 
With the sheer number of different variables involved in the process of growing crops and raising livestock, agriculture is literally one of the most fertile industries for these technologies to grow in. It is easy to see where IoT monitoring, AI and ML are already having an impact today but, with the rapid development and uptake of AI in daily life through ChatGPT and other language model-based chatbots, it stands to reason that the scope and scale of AI in agriculture will increase quickly. Below are five ways AI has the highest potential to continue improving agriculture in 2024.
 
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