Artificial intelligence ( AI ) is already having a huge impact on agriculture and is expected to play an even bigger role in the future. Here are some of the potential impacts of AI on the future of agriculture.

Precise farming. Tools powered by AI can help farmers analyse data related to soil conditions, weather patterns and plant health to make more informed decisions about fertiliser application, irrigation and pest control. This can lead to higher crop yields and more efficient use of resources.

Autonomous farming equipment. Drones, robots and tractors powered by artificial intelligence can be used to perform tasks such as crop planting, harvesting and monitoring. This can increase efficiency, reduce labour costs and minimise human error.

Predictive analytics. Artificial intelligence algorithms can analyse data on factors such as weather patterns, market trends and plant genetics to predict future crop yields and prices. This helps farmers plan production and marketing strategies more effectively.

Improving food safety. Artificial intelligence can be used to monitor food safety at all stages of the supply chain, from farm to consumer. This helps prevent food-borne illnesses and ensures that food is safe to eat.

Reducing environmental impact. Artificial intelligence helps farmers optimise the use of resources such as water, fertilisers and pesticides to reduce waste and minimise the environmental impact of farming.

Overall, the impact of AI on the future of agriculture is huge, with the potential to increase the efficiency, productivity and sustainability of the sector. However, it is important to ensure that these technologies are accessible and affordable for all farmers, including small-scale and low-income farmers.