Artificial intelligence (AI) is transforming various sectors and agriculture is no exception. From improving crop efficiency to optimising the use of resources, AI is revolutionising the way we grow our food.
In this article, we will explore how AI is impacting the agricultural sector.with practical examples and current solutions that can be useful for modern farmers.
What is Artificial Intelligence in Agriculture?
Artificial intelligence in agriculture refers to the use of advanced technologies such as machine learning, computer vision and data analysis to improve agricultural production.
These technologies enable farmers to make decisions more efficientlyThis is to increase yields and reduce environmental impact.
Practical examples of AI in agriculture
1. Drones and sensors for crop monitoring
One of the most common applications of AI in agriculture is in the use of drones and sensors for crop monitoring.
These devices collect data in real time on plant condition, soil quality and climatic conditions.
With the help of AI algorithms, farmers can analyse these data and detect problems such as diseases, pests or nutritional deficiencies before they become serious problems.
2. Precision farming
Precision agriculture uses IA to optimise the use of resources such as water, fertilisers and pesticides. Companies such as John Deere have developed systems for autonomous tractors that use GPS data and sensors to apply inputs with pinpoint accuracy.
This not only improves yields, but also reduces waste and environmental impact.
3. Yield prediction
AI can also predict crop yields with high accuracy.
Platforms such as Granular use predictive models based on historical data and current conditions to help farmers plan their planting and harvesting seasons.
These predictions allow for better planning and resource management.
If you are interested in predictive modelling in agriculture, I recommend this post.
Current companies and solutions in AI for Agriculture
1. IBM Watson Decision Platform for Agriculture
IBM offers the Watson Decision Platform for Agriculturewhich combines artificial intelligence with data analytics to help farmers make more informed decisions.
The platform provides information on climate, soil health and crop yields, This allows for more efficient farm management.
2. Blue River Technology
Blue River Technologya subsidiary of John Deere, has developed See & Spraya technology that uses computer vision and machine learning to identify and spray only weeds, reducing herbicide use and improving agricultural sustainability.
3. Prospera
Prospera is a startup that uses artificial intelligence for crop monitoring and analysis. Its platform collects data from images and sensors to provide detailed information on plant health and soil conditions, allowing farmers to take preventive and corrective measures with greater accuracy.
Conclusion
Artificial intelligence is revolutionising the agricultural sector, offering innovative solutions that improve the efficiency and sustainability of farms.
From drones and sensors to yield prediction and resource management, AI technologies are helping farmers meet the challenges of the 21st century.
Companies such as IBM, John Deere and Prospera are leading the way with advanced solutions that promise to transform agriculture as we know it.
Relevant links:
