AI vs agtech: How AI is revolutionising agriculture

Artificial intelligence (AI) is revolutionizing the agricultural sector, altering the perception of farming and establishing a data-driven precision system that maximizes yields. Modern farms around the world are already implementing this technology.

AI eases the laborious task of caring for plants and animals. Historically, farmers had to manually inspect each plant and animal on their fields, which proved challenging, particularly for commercial farms. However, by feeding data and images of farm activities into AI systems via drones, satellites, and ground sensors, farmers can now remotely detect issues such as disease, nutrient shortages, and water stress that were previously difficult to identify.

AI also assists farmers in determining the optimal amount of water, feed, supplements, and fertilizers needed for their crops and livestock. By utilizing soil sensors, weather data, and smart irrigation and feeding systems, AI helps farms minimize resource waste, ultimately saving money. Additionally, AI aids farmers in predicting weather patterns and planting seasons, transforming "gut feelings" into accurate forecasts based on years of weather records, market trends, and soil data.

Despite its potential, AI adoption in agriculture faces several challenges. High initial investment costs and uncertain return on investment (ROI) pose significant barriers, especially for small and mid-sized farms. The need for skilled personnel to operate AI-driven machinery is also a concern, as it will lead to the displacement of human laborers in rural and regional communities.

Furthermore, rural areas with unreliable network connectivity and limited technical expertise present additional obstacles to widespread AI integration in agriculture.