There are many different types of data related to crop farming, but some of them are more common that other. In this Agtech Letter we walk you through some of the areas where data is available together with examples of what can be measured.
#12 – Some common types of data in crop farming Read More »
In this Agtech Letter we will dive into the matter of data. You often hear people talk about data and it is one of the corner-stones of agtech solutions. The success of digitalization, automation, AI solutions, and autonomy are all heavily dependent on the availability of high-quality and relevant data.
#11 – What is data and why is it so important? Read More »
The last Agtech Letter in the series of three considering AI assistants is focused on some of the risks that are related to AI assistants and, maybe more importantly, how to avoid them. Our take is that AI assistants can be very useful tools, but you need to be aware of the drawbacks and pitfalls to use it correctly without violating any regulations or doing any harm to your business.
#10 – What are AI assistants and how can you use them (III/III) Read More »
An AI assistant can be thought of as a large AI model that has been fine-tuned and trained to solve a certain task, like answering questions or reason about problems. In this Agtech Letter we walk you through the major steps that are taken under the hood of an AI assistant to improve you understanding of the technology.
#9 – What are AI assistants and how can you use them (II/III) Read More »