Agriculture might not be the first industry that comes to mind when discussing AI, but it has become an active area of application, driven by the need to feed a growing global population with limited farmland and resources.
Crop and Soil Monitoring
Drones and satellite imagery combined with AI analysis can detect early signs of crop disease, pest infestation, or nutrient deficiency across large fields, allowing farmers to act on specific problem areas rather than treating an entire field uniformly.
Precision Irrigation
AI systems can analyse soil moisture data alongside weather forecasts to recommend precisely how much water a specific section of land needs, reducing water waste while maintaining healthy crop yields.
Automated Harvesting
Computer vision systems mounted on harvesting equipment can identify ripe produce and pick it with minimal damage, addressing labour shortages in certain regions while improving harvesting consistency.
These applications collectively aim to help farmers produce more food with fewer resources, an increasingly important goal as climate variability makes traditional farming decisions harder to make with fixed rules of thumb.