Some thoughts on the role of Artificial Intelligence in Agriculture.

AI-based technologies are emerging to improve efficiency and address challenges facing the industry, including crop yields, soil health and herbicide resistance. Agricultural robots are poised to become a highly valued application of AI in this sector.

Evidence of widespread adoption is evident in dairy farming, where thousands of milking robots are already in operation. This segment is expected to grow from $1.9 billion to $8 billion by 2023.

It is possible that agricultural robots will be developed to perform an increasing variety of tasks over the next three to five years.

Crop and soil monitoring technologies will also have important applications in the future as climate change continues to be researched and assessed. A research study found that global declines in corn and wheat declined by 3.8 percent and 5.5 percent, respectively, between 1980 and 2008 as a result of climate change.

The amount of data that can be captured daily by technology such as drones and satellites will provide agricultural businesses with a new ability to predict changes and identify opportunities. We expect that satellite machine vision applications (for weather, crop health, crop yield forecasting, etc.) will become increasingly common on large industrial farms over the next 5-10 years

It will be important for farmers to have up-to-date training to ensure the use of these technologies and to ensure their continued development. This will help to demonstrate the long-term value of these tools.

Extensive testing and validation of emerging AI applications in the sector will be critical, as agriculture is affected by environmental factors that cannot be controlled, unlike other industries where risk is easier to model and predict.

We expect the agricultural sector to continue to adopt AI on an ongoing basis and will continue to monitor this trend as AI…