With the emergence and rapid enhancement of AI, the concept of precision agriculture is on the rise. Precision agriculture, also called “smart farming,” is a farming practice that uses data-driven strategies to customise agricultural operations to the unique requirements of individual plants or fields.
Role of Machine Learning and Data Analytics:
Modern agriculture relies heavily on machine learning and data analytics, two fundamental components of AI. Machine learning algorithms find patterns and correlations critical to enhancing farming methods by processing massive amounts of data from sensors, satellites, and drones.
Benefits of Precision Agriculture:
Precision agriculture has numerous benefits, including improved yield estimation accuracy. AI systems use data from a variety of sources, including satellite photography and weather forecasts, to produce accurate agricultural output projections. Furthermore, variable rate technologies allow farmers to modify irrigation rates, planting densities, and fertilizer inputs based on environmental circumstances and soil type.
In summary, the application of AI to precision agriculture signals the beginning of a new era in agricultural practices, one in which cutting-edge technologies and data-driven decision-making combine to maximise output, reduce environmental impact, and completely transform the way food is produced.
